Aussie AI

Agent AI Architectures

  • Last Updated 30 August, 2025
  • by David Spuler, Ph.D.

Agents. Ah, yes, the final phase of AI. You tell your AI assistant to go away and book you a vacation, and then you're done. Sorted! (What could go wrong?)

Agent architectures are a very powerful extension of LLMs, especially if you use the trendy "agentic" terminology. There are literally dozens of startups building them, but no-one really agrees what they are. Here's one way to look at it using computer programmer vernacular:

  • Read-only agents — go away and research, coming back to give you more detailed answers.
  • Read-write agents — they go away and research it, book your vacation, and then tell you about it.

Actually, to further confuse issues, there are a few agent-like architectures already available and in common usage:

  • "Plug-ins" (such as for OpenAI's ChatGPT) — access third-party data sources in your LLM queries, which is a RAG-like architecture whereby the AI engine gets more data from the integrated data source, and then uses the LLM to complete the answer.
  • "Tools" — your AI actually launches some executable tools behind-the-scenes, such as a clock to answer time-related queries, a calculator for arithmetic, and so on. The LLM has to be trained to know when to launch a tool, and which ones to use for what queries.

There's also a time-based categorization possible:

  • Interactive agents — launch now, do their best to handle it quickly, and then report on what they found (or what they did). For example, you tell your agent to send a text message or an email.
  • Launched agents — the idea is longer-running agents, such as one that goes off and books your concert tickets.
  • Scheduled, Autonomous, or Perpetual agents — the idea is for an agent to sit there, always watching, and then report on this, or get triggered by something (e.g. it watches a newsfeed and summarizes them for you each morning; or an agent watches stock prices, and then trades for you as your own personal HFT).

Some of the other practical issues involved in running an agent include:

  • Approval-needed versus unattended execution. (It's all about trust, or lack thereof.)
  • Follow-up questions, whereby the AI determines what you're asking, but then reverses the power balance in the relationship by asking for clarification of your wishes ("window or aisle?").
  • Personalization — it really should already know that you want a window seat.
  • Context — the agent would ideally know your geo location, or what's on your screen, or where you're standing (e.g. it really should look out through your camera and know that you're in the bathroom, as everyone would want).

Related areas of LLM research include:

Survey Papers on AI Agents

Survey papers on agents:

  • Z. Xi, W. Chen, X. Guo, W. He, Y. Ding, B. Hong, M. Zhang, J. Wang, S. Jin, E. Zhou et al., “The rise and potential of large language model based agents: A survey,” arXiv preprint arXiv:2309.07864, 2023. https://arxiv.org/abs/2309.07864
  • T. Guo, X. Chen, Y. Wang, R. Chang, S. Pei, N. V. Chawla, O. Wiest, and X. Zhang, “Large language model based multi agents: A survey of progress and challenges,” arXiv preprint arXiv:2402.01680, 2024. https://arxiv.org/abs/2402.01680
  • Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou, 4 Sep 2024, Large Language Model-Based Agents for Software Engineering: A Survey, https://arxiv.org/abs/2409.02977 Project: https://github.com/FudanSELab/Agent4SE-Paper-List
  • Yanxian Huang, Wanjun Zhong, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng, Yanlin Wang, 13 Sep 2024, Agents in Software Engineering: Survey, Landscape, and Vision, https://arxiv.org/abs/2409.09030 https://github.com/DeepSoftwareAnalytics/Awesome-Agent4SE
  • Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, Ling Chen, 4 Nov 2024, Foundations and Recent Trends in Multimodal Mobile Agents: A Survey, https://arxiv.org/abs/2411.02006 https://github.com/aialt/awesome-mobile-agents
  • Shuai Wang, Weiwen Liu, Jingxuan Chen, Weinan Gan, Xingshan Zeng, Shuai Yu, Xinlong Hao, Kun Shao, Yasheng Wang, Ruiming Tang, 7 Nov 2024, GUI Agents with Foundation Models: A Comprehensive Survey, https://arxiv.org/abs/2411.04890
  • Chris Sypherd, Vaishak Belle, 5 Dec 2024, Practical Considerations for Agentic LLM Systems, https://arxiv.org/abs/2412.04093
  • Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt, 18 Dec 2024, GUI Agents: A Survey, https://arxiv.org/abs/2412.13501
  • Shuaihang Chen, Yuanxing Liu, Wei Han, Weinan Zhang, Ting Liu, 23 Dec 2024. A Survey on Multi-Generative Agent System: Recent Advances and New Frontiers. https://arxiv.org/abs/2412.17481
  • Aditi Singh, Abul Ehtesham, Saket Kumar, Tala Talaei Khoei, 15 Jan 2025, Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG, https://arxiv.org/abs/2501.09136
  • Xinzhe Li, Jan 2025, A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning, Proceedings of the 31st International Conference on Computational Linguistics, pages 9760–9779, January 19–24, 2025. ©2025 Association for Computational Linguistics, https://aclanthology.org/2025.coling-main.652.pdf https://github.com/xinzhel/LLM-Agent-Survey
  • Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee, 20 May 2025 (v3), AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges, https://arxiv.org/abs/2505.10468

Building AI Agents

Research papers on how to build AI agents:

Research on AI Agent Architectures

There are plenty of research papers on agent extensions to AI.

  • Jon Turow, June 5, 2024, The Rise of AI Agent Infrastructure, Madrona, https://www.madrona.com/the-rise-of-ai-agent-infrastructure/
  • Julian Horsey, May 2, 2024, How to start building AI Agents in 2024, Geeky Gadgets, https://www.geeky-gadgets.com/building-ai-agents-pathway/
  • Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu, 12 Mar 2024 (v3), Data Interpreter: An LLM Agent For Data Science, https://arxiv.org/abs/2402.18679 Code: https://github.com/geekan/MetaGPT
  • Zelong Li, Wenyue Hua, Hao Wang, He Zhu, Yongfeng Zhang, 4 Feb 2024 (v2), Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents, https://arxiv.org/abs/2402.00798 Code: https://github.com/agiresearch/Formal-LLM
  • Qiusi Zhan, Zhixiang Liang, Zifan Ying, Daniel Kang, 25 Mar 2024 (v2), InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents, https://arxiv.org/abs/2403.02691
  • Quentin Gallouédec, Edward Beeching, ClementRomac, Thomas Wolf, April 22, 2024, Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent, Hugging Face Blog, https://huggingface.co/blog/jat
  • Juyong Lee, Taywon Min, Minyong An, Changyeon Kim, Kimin Lee, 25 Apr 2024, Benchmarking Mobile Device Control Agents across Diverse Configurations, https://arxiv.org/abs/2404.16660 Code: https://b-moca.github.io/
  • S Zahedi Jahromi, Feb 2024, Conversational QA Agents with Session Management, Master's Degree Thesis, Computer Engineering, Politechnico di Torino, Italy, https://webthesis.biblio.polito.it/secure/31037/1/tesi.pdf
  • Benjamin A Newman, Chris Paxton, Kris Kitani, Henny Admoni, 16 Apr 2024, Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration, https://arxiv.org/abs/2404.10733
  • Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, and Ping Luo. 2023a. Tree-planner: Efficient close-loop task planning with large language models. arXiv preprint arXiv:2310.08582. https://arxiv.org/abs/2310.08582
  • Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik R Narasimhan, and Shunyu Yao. 2023. Reflexion: Language agents with verbal reinforcement learning. In Thirty-seventh Conference on Neural Information Processing Systems. https://arxiv.org/abs/2303.11366
  • Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. 2023b. ToolLLM: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789. https://arxiv.org/abs/2307.16789
  • Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, XuChen, Yankai Lin, et al. 2023c. A survey on large language model based autonomous agents. arXiv preprint arXiv:2308.11432. https://arxiv.org/abs/2308.11432
  • Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi, 10 Jun 2024, Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning, https://arxiv.org/abs/2406.06469 Code: https://github.com/agent-husky/Husky-v1
  • David Linthicum, June 7, 2024, Generative AI agents will revolutionize AI architecture, InfoWorld, https://www.infoworld.com/article/3715457/generative-ai-agents-will-revolutionize-ai-architecture.html
  • Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou, 2024, ASSISTGUI:Task-Oriented PC Graphical User Interface Automation, https://openaccess.thecvf.com/content/CVPR2024/papers/Gao_AssistGUI_Task-Oriented_PC_Graphical_User_Interface_Automation_CVPR_2024_paper.pdf Code: https://showlab.github.io/assistgui/
  • Hesam Sheikh, Jun 1, 2024, Towards AI Build Blog Writer and Researcher AI Agents with Ollama (100% local): Creating AI agents with Crewai and using Ollama to run them 100% locally in 5 very easy steps!, https://pub.towardsai.net/build-your-first-ai-agent-in-5-easy-steps-100-local-2fb771438a8f
  • Simeon Emanuilov, Apr 4, 2024 LLM agent operating system (AIOS) and the future of LLM-powered agents, https://medium.com/@simeon.emanuilov/llm-agent-operating-system-aios-and-the-future-of-llm-powered-agents-3d08b4e91c34 https://unfoldai.com/aios-llm-powered-agents/
  • Wei Chen, Zhiyuan Li, 3 Apr 2024 (v2), Octopus v2: On-device language model for super agent, https://arxiv.org/abs/2404.01744
  • Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu, 10 Jan 2024, Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security, https://arxiv.org/abs/2401.05459 Code: https://github.com/MobileLLM/Personal_LLM_Agents_Survey
  • Jesus Rodriguez, Jan 5, 2024, Inside MemGPT: An LLM Framework for Autonomous Agents Inspired by Operating Systems Architectures, Towards AI, https://pub.towardsai.net/inside-memgpt-an-llm-framework-for-autonomous-agents-inspired-by-operating-systems-architectures-674b7bcca6a5
  • Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan, Andy Zeng, Aug 2022, Do As I Can, Not As I Say: Grounding Language in Robotic Affordances https://arxiv.org/abs/2204.01691 Project: https://say-can.github.io/
  • Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman, Jun 2022, WebGPT: Browser-assisted question-answering with human feedback https://arxiv.org/abs/2112.09332
  • James Nguyen, Nov 19, 2023, Forget RAG: Embrace agent design for a more intelligent grounded ChatGPT! https://james-tn.medium.com/forget-rag-embrace-agent-design-for-a-more-intelligent-grounded-chatgpt-6c562d903c61
  • Julian Yip, Apr 2, 2024, Build Autonomous AI Agents with Function Calling: Transform your chatbot into an agent that can interact with external APIs, https://towardsdatascience.com/build-autonomous-ai-agents-with-function-calling-0bb483753975 (Implement agents via models that output a JSON object that describes the API to call and the parmaeters to send.)
  • Anton Antich, May 17, 2024, Anatomy of an AI Multi-Agent: How do we build a useful AI agent? https://medium.com/superstringtheory/anatomy-of-an-ai-multi-agent-e2cfedc3b050
  • Luyuan Wang, Yongyu Deng, Yiwei Zha, Guodong Mao, Qinmin Wang, Tianchen Min, Wei Chen, Shoufa Chen, 12 Jun 2024, MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents, https://arxiv.org/abs/2406.08184 Project: https://mobileagentbench.github.io/ Code: https://mobileagentbench.github.io/
  • Patrick Dougherty, Jun 4, 2024, Building AI Agents: Lessons Learned over the past Year, https://medium.com/@cpdough/building-ai-agents-lessons-learned-over-the-past-year-41dc4725d8e5
  • Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su, 22 Feb 2024, Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments, https://arxiv.org/abs/2402.14672
  • 8 Jun 2024 (v2), A Survey on Efficient Inference for Large Language Models, Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang, https://arxiv.org/abs/2404.14294
  • Sandi Besen, Apr 24, 2024, The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey, Towards Data Science, https://towardsdatascience.com/the-landscape-of-emerging-ai-agent-architectures-for-reasoning-planning-and-tool-calling-a-a95214b743c1
  • Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou, 7 Jun 2024, Mixture-of-Agents Enhances Large Language Model Capabilities, https://arxiv.org/abs/2406.04692
  • Krishankant Singhal, Apr 12, 2024, CrewAI: Aframework for building and orchestrating multi-agent AI systems. https://krishankantsinghal.medium.com/crewai-ae3eb2a9e87a
  • Lak Lakshmanan, March 7, 2024, Building an AI Assistant with DSPy: A way to program and tune prompt-agnostic LLM agent pipelines, https://towardsdatascience.com/building-an-ai-assistant-with-dspy-2e1e749a1a95
  • Tianlin Shi, Andrej Karpathy, Linxi Fan, Jonathan Hernandez, Percy Liang, 2017, World of Bits: An Open-Domain Platform for Web-Based Agents, Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3135-3144, https://proceedings.mlr.press/v70/shi17a.html
  • Peter C Humphreys, David Raposo, Toby Pohlen, Gregory Thornton, Rachita Chhaparia, Alistair Muldal, Josh Abramson, Petko Georgiev, Alex Goldin, Adam Santoro, Timothy Lillicrap, 11 Nov 2022 (v2), A data-driven approach for learning to control computers, https://arxiv.org/abs/2202.08137
  • Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom, 9 Feb 2023, Toolformer: Language Models Can Teach Themselves to Use Tools, https://arxiv.org/abs/2302.04761
  • Z. Xi, W. Chen, X. Guo, W. He, Y. Ding, B. Hong, M. Zhang, J. Wang, S. Jin, E. Zhou et al., “The rise and potential of large language model based agents: A survey,” arXiv preprint arXiv:2309.07864, 2023. https://arxiv.org/abs/2309.07864
  • T. Guo, X. Chen, Y. Wang, R. Chang, S. Pei, N. V. Chawla, O. Wiest, and X. Zhang, “Large language model based multi agents: A survey of progress and challenges,” arXiv preprint arXiv:2402.01680, 2024. https://arxiv.org/abs/2402.01680
  • James O'Donnell, May 1, 2024, Sam Altman says helpful agents are poised to become AI’s killer function, https://www.technologyreview.com/2024/05/01/1091979/sam-altman-says-helpful-agents-are-poised-to-become-ais-killer-function/
  • Fabian Both, June 2024, why we no longer use LangChain for building our AI agents , https://www.octomind.dev/blog/why-we-no-longer-use-langchain-for-building-our-ai-agents (Replaces LangChain with their own more-focused internal tool sets.)
  • Janelle Teng, June 21, 2024, State of the Cloud 2024, The Legacy Cloud is dead — long live AI Cloud! https://nextbigteng.substack.com/p/state-of-the-cloud-2024
  • Ignacio de Gregorio, June 2024, Mixture-of-Agents Beats ChatGPT-4o: Collaboration is Intelligence, https://medium.com/@ignacio.de.gregorio.noblejas/mixture-of-agents-beats-chatgpt-4o-6470a74f1525
  • Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha, 20 Jun 2024, AI-coupled HPC Workflow Applications, Middleware and Performance, (Examines integrations of various workflows into LLMs.) https://arxiv.org/abs/2406.14315
  • Valentina Alto, May 2024, Building LLM Powered Applications: Create intelligent apps and agents with large language models, Packt Publishing, https://www.amazon.com/Building-LLM-Apps-Intelligent-Language/dp/1835462316/
  • Irene Weber, 13 Jun 2024, Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications, https://arxiv.org/abs/2406.10300
  • Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si, 19 Jun 2024, APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts, https://arxiv.org/abs/2406.13161 Code: https://github.com/appl-team/appl (A Python-like script language for prompt engineering integration into applications and agents.)
  • Kapil Raina, Jun 3, 2024, Analytics with GenAI Agents (Text2SQL, CrewAI, LangChain, GPT4o), https://kapil-raina.medium.com/analytics-with-genai-agents-text2sql-crewai-langchain-gpt4o-314985bf6dc6
  • Louis-François Bouchard, Louie Peters, May 2024, Chapter 9: Agents, Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, https://www.amazon.com/Building-LLMs-Production-Reliability-Fine-Tuning/dp/B0D4FFPFW8/
  • Aarushi Kansal, Chapter 3: Chains, Tools and Agents Building Generative AI-Powered Apps: A Hands-on Guide for Developers, Apress, https://www.amazon.com/Building-Generative-AI-Powered-Apps-Hands-ebook/dp/B0CTXXP1S4/
  • Vishal Rajput, Apr 11, 2024, What’s next for AI: AI agentic workflows? https://medium.com/aiguys/next-for-llms-and-rag-ai-agentic-workflows-1869ba0a6796
  • Assaf Elovic, May 10, 2024, How to Build the Ultimate AI Automation with Multi-Agent Collaboration, https://medium.com/@assafelovic/how-to-build-the-ultimate-ai-automation-with-multi-agent-collaboration-ed61a1ea8f3b
  • Rachel Metz, July 12, 2024, OpenAI Scale Ranks Progress Toward ‘Human-Level’ Problem Solving: The company believes its technology is approaching the second level of five on the path to artificial general intelligence, Bloomberg, https://www.bloomberg.com/news/articles/2024-07-11/openai-sets-levels-to-track-progress-toward-superintelligent-ai?sref=P6Q0mxvj
  • Asankhaya Sharma, 26 Jul 2024, Patched MOA: optimizing inference for diverse software development tasks, https://arxiv.org/abs/2407.18521
  • Eddie Forson, Apr 29, 2024, Why I’m building my own AI Agent library, https://medium.com/@Ed_Forson/why-im-building-my-own-ai-agent-library-e20ec9aa3647
  • Dexola, Jul 29, 2024, Autonomous AI Agents: From Concept to Real-World Application, https://generativeai.pub/autonomous-ai-agents-from-concept-to-real-world-application-593546229cdf
  • Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen, 5 Aug 2024, From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future, https://arxiv.org/abs/2408.02479
  • Lakshmi narayana .U, Jul 28, 2024, STORM: Stanford’s Revolutionary Research Tool Harnessing the Power of Agents and Agentic Workflows, https://blog.stackademic.com/storm-stanfords-revolutionary-research-tool-harnessing-the-power-of-agents-and-agentic-workflows-a2fa0e1a7fe3
  • Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan, 1 Jul 2024, AI Agents That Matter, https://arxiv.org/abs/2407.01502 (Examining measuring both accuracy and cost in building agent-based systems.)
  • Cognine, 2024, Why 2024 is the Year of AI Agents and Compound AI Systems? https://cognine.com/why-2024-is-the-year-of-ai-agents-and-compound-ai-systems/
  • Zoumana Keita, Aug 12, 2024, AI Agents — From Concepts to Practical Implementation in Python: This will change the way you think about AI and its capabilities, https://towardsdatascience.com/ai-agents-from-concepts-to-practical-implementation-in-python-fb26789b1560
  • Vala Afshar, Aug. 25, 2024, Six levels of autonomous work: How AI augments, then replaces: In the next decade, the six levels of autonomous work will drive augmentation capabilities at first, and then full replacement of tasks, roles, teams, and - ultimately - lines-of-business, https://www.zdnet.com/article/six-levels-of-autonomous-work-how-ai-augments-then-replaces/
  • Grant Gross, 30 Aug 2024, Agentic AI: Decisive, operational AI arrives in business, https://www.cio.com/article/3496519/agentic-ai-decisive-operational-ai-arrives-in-business.html
  • Giancarlo Mori, Jul 11, 2024, Designing and Implementing AI Agents in Your Enterprise, https://gcmori.medium.com/designing-and-implementing-ai-agents-in-your-enterprise-3330bd034091
  • Daniel Chin, Yuxuan Wang, Gus Xia, 19 May 2024, Human-Centered LLM-Agent User Interface: A Position Paper, https://arxiv.org/abs/2405.13050
  • Giancarlo Mori, Jul 2, 2024, Intro to AI Agents and Architectures, https://gcmori.medium.com/intro-to-ai-agents-and-architectures-3dfa8c887425
  • Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami, 1 Sep 2024, TinyAgent: Function Calling at the Edge, https://arxiv.org/abs/2409.00608 https://github.com/SqueezeAILab/TinyAgent
  • Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou, 4 Sep 2024, Large Language Model-Based Agents for Software Engineering: A Survey, https://arxiv.org/abs/2409.02977 Project: https://github.com/FudanSELab/Agent4SE-Paper-List
  • Emilia David, September 10, 2024, ServiceNow introduces a library of enterprise AI agents you can customize to fit your workflow, https://venturebeat.com/ai/servicenow-introduces-a-library-of-enterprise-ai-agents-you-can-customize-to-fit-your-workflow/
  • Michael Nuñez, September 13, 2024, Microsoft’s Windows Agent Arena: Teaching AI assistants to navigate your PC, https://venturebeat.com/ai/microsofts-windows-agent-arena-teaching-ai-assistants-to-navigate-your-pc/
  • Jeremy Kahn, September 17, 2024, Microsoft introduces AI agents and updates to Copilot 365 apps as the war to make AI more useful intensifies, https://fortune.com/2024/09/16/microsoft-launches-ai-agents-updates-to-copilot-365-apps/
  • Cobus Greyling, Sep 2024, An AI Agent Architecture & Framework Is Emerging, https://cobusgreyling.medium.com/an-ai-agent-architecture-framework-is-emerging-addae3804f23
  • Yanxian Huang, Wanjun Zhong, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng, Yanlin Wang, 13 Sep 2024, Agents in Software Engineering: Survey, Landscape, and Vision, https://arxiv.org/abs/2409.09030 https://github.com/DeepSoftwareAnalytics/Awesome-Agent4SE
  • Grant Gross, 19 Sep 2024, Thinking of building your own AI agents? Don’t do it, advisors say, CIO, https://www.cio.com/article/3529740/thinking-of-building-your-own-ai-agents-dont-do-it-advisors-say.html
  • Shuyan Zhou, July 25, 2024, Solving Real-World Tasks with AI Agents Ph.D. Thesis, CMU-LTI-24-014, Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA, https://kilthub.cmu.edu/ndownloader/files/48699703
  • Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang, 25 Sep 2024, Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents, https://arxiv.org/abs/2409.17140
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  • Chuzhan Hao, Wenfeng Feng, Yuewei Zhang, Hao Wang, 23 Jul 2025, DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning, https://arxiv.org/abs/2507.17365
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  • Qi Liu, Can Li, Wanjing Ma, 18 Jul 2025, GATSim: Urban Mobility Simulation with Generative Agents, https://arxiv.org/abs/2506.23306
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  • Xiaowen Ma, Chenyang Lin, Yao Zhang, Volker Tresp, Yunpu Ma, 18 Jul 2025, Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation, https://arxiv.org/abs/2506.09046
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  • Humza Sami, Mubashir ul Islam, Pierre-Emmanuel Gaillardon, Valerio Tenace, 18 Jul 2025, Adaptive Multi-Agent Reasoning via Automated Workflow Generation, https://arxiv.org/abs/2507.14393
  • Sai Wang, Senthilnathan Subramanian, Mudit Sahni, Praneeth Gone, Lingjie Meng, Xiaochen Wang, Nicolas Ferradas Bertoli, Tingxian Cheng, Jun Xu, 19 Jul 2025, Configurable multi-agent framework for scalable and realistic testing of llm-based agents, https://arxiv.org/abs/2507.14705
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  • Jiale Liu, Huan Wang, Yue Zhang, Xiaoyu Luo, Jiaxiang Hu, Zhiliang Liu, Min Xie, 20 Jul 2025, InsightX Agent: An LMM-based Agentic Framework with Integrated Tools for Reliable X-ray NDT Analysis, https://arxiv.org/abs/2507.14899
  • Abderaouf Bahi and Amel Ourici, 20 Jul 2025, Can We Move Freely in NEOM's The Line? An Agent-Based Simulation of Human Mobility in a Futuristic Smart City, https://arxiv.org/abs/2507.15143
  • Junhyeong Lee, Joon-Young Kim, Heekyu Kim, Inhyo Lee and Seunghwa Ryu, 21 Jul 2025, IM-Chat: A Multi-agent LLM-based Framework for Knowledge Transfer in Injection Molding Industry, https://arxiv.org/abs/2507.15268
  • Zijian Zhao, Sen Li, 21 Jul 2025, One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms, https://arxiv.org/abs/2507.15351
  • Sizhou Chen, Shufan Jiang, Chi Zhang, Xiao-Lei Zhang, Xuelong Li, 21 Jul 2025, HAMLET: Hyperadaptive Agent-based Modeling for Live Embodied Theatrics, https://arxiv.org/abs/2507.15518
  • Jingyi Zheng, Zifan Peng, Yule Liu, Junfeng Wang, Yifan Liao, Wenhan Dong, Xinlei He, 21 Jul 2025, GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts, https://arxiv.org/abs/2507.15761
  • Yifan Shen, Zihan Zhao, Xiao Xue, Yuwei Guo, Qun Ma, Deyu Zhou, Ming Zhang, 21 Jul 2025, A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining, https://arxiv.org/abs/2507.15770
  • H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos Cassandras, Wenchao Li, 20 Jul 2025, Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems, https://arxiv.org/abs/2507.14850
  • Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei, 21 Jul 2025, Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control, https://arxiv.org/abs/2507.15174
  • Yinsong Chen, Kaifeng Wang, Xiaoqiang Meng, Xueyuan Li, Zirui Li, Xin Gao, 21 Jul 2025, Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario, https://arxiv.org/abs/2507.15587
  • Kailai Yang, Xiao Liu, Lei Ji, Hao Li, Yeyun Gong, Peng Cheng, Mao Yang, 21 Jul 2025, Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training, https://arxiv.org/abs/2507.15640
  • Shengji Tang, Jianjian Cao, Weihao Lin, Jiale Hong, Bo Zhang, Shuyue Hu, Lei Bai, Tao Chen, Wanli Ouyang, Peng Ye, 14 Jul 2025, Open-Source LLMs Collaboration Beats Closed-Source LLMs: A Scalable Multi-Agent System, https://arxiv.org/abs/2507.14200
  • Yiran Wu, Mauricio Velazco, Andrew Zhao, Manuel Ra\'ul Mel\'endez Luj\'an, Srisuma Movva, Yogesh K Roy, Quang Nguyen, Roberto Rodriguez, Qingyun Wu, Michael Albada, Julia Kiseleva, Anand Mudgerikar, 14 Jul 2025, ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation, https://arxiv.org/abs/2507.14201
  • Ramesh Raskar, Pradyumna Chari, John Zinky, Mahesh Lambe, Jared James Grogan, Sichao Wang, Rajesh Ranjan, Rekha Singhal, Shailja Gupta, Robert Lincourt, Raghu Bala, Aditi Joshi, Abhishek Singh, Ayush Chopra, Dimitris Stripelis, Bhuwan B, Sumit Kumar, Maria Gorskikh, 18 Jul 2025, Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts, https://arxiv.org/abs/2507.14263
  • Xinheng Lyu, Yuci Liang, Wenting Chen, Meidan Ding, Jiaqi Yang, Guolin Huang, Daokun Zhang, Xiangjian He, and Linlin Shen, 19 Jul 2025, WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis, https://arxiv.org/abs/2507.14680
  • Sam Johnson, Viet Pham, Thai Le, 20 Jul 2025, Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree, https://arxiv.org/abs/2507.14799
  • Yongrae Jo, Chanik Park, 20 Jul 2025, Byzantine-Robust Decentralized Coordination of LLM Agents, https://arxiv.org/abs/2507.14928
  • Hao Li, Haoxiang Zhang, Ahmed E. Hassan, 20 Jul 2025, The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering, https://arxiv.org/abs/2507.15003
  • Xiaofeng Shi, Yuduo Li, Qian Kou, Longbin Yu, Jinxin Xie, Hua Zhou, 21 Jul 2025, SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search, https://arxiv.org/abs/2507.15245
  • Qian Xiong and Yuekai Huang and Ziyou Jiang and Zhiyuan Chang and Yujia Zheng and Tianhao Li and Mingyang Li, 21 Jul 2025, Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems, https://arxiv.org/abs/2507.15296
  • Jiaao Li, Kaiyuan Li, Chen Gao, Yong Li, Xinlei Chen, 21 Jul 2025, EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent, https://arxiv.org/abs/2507.15428
  • Simon Kohaut and Felix Divo and Navid Hamid and Benedict Flade and Julian Eggert and Devendra Singh Dhami and Kristian Kersting, 21 Jul 2025, The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents, https://arxiv.org/abs/2507.15478
  • Faizan Contractor, Li Li, Ranwa Al Mallah, 19 Jul 2025, Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence, https://arxiv.org/abs/2507.14658
  • Seth Karten, Wenzhe Li, Zihan Ding, Samuel Kleiner, Yu Bai, Chi Jin, 21 Jul 2025, LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra, https://arxiv.org/abs/2507.15815
  • Tianqi Xu, Linyao Chen, Dai-Jie Wu, Yanjun Chen, Zecheng Zhang, Xiang Yao, Zhiqiang Xie, Yongchao Chen, Shilong Liu, Bochen Qian, Anjie Yang, Zhaoxuan Jin, Jianbo Deng, Philip Torr, Bernard Ghanem, Guohao Li, 20 Jul 2025, CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents, https://arxiv.org/abs/2407.01511
  • Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lyuye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xingshuai Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu, 19 Jul 2025, A Vision for Auto Research with LLM Agents, https://arxiv.org/abs/2504.18765
  • Minjie Shen and Yanshu Li and Lulu Chen and Qikai Yang, 20 Jul 2025, From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent, https://arxiv.org/abs/2505.02024
  • Djallel Bouneffouf, Matthew Riemer and Kush Varshney, 21 Jul 2025, The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?, https://arxiv.org/abs/2506.01813
  • Xiaofeng Shi, Qian Kou, Yuduo Li, Ning Tang, Jinxin Xie, Longbin Yu, Songjing Wang, Hua Zhou, 21 Jul 2025, SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation, https://arxiv.org/abs/2506.12689
  • Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee, Nikolaos D. Tselikas, 18 Jul 2025, Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning, https://arxiv.org/abs/2507.10571
  • Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka, 19 Jul 2025, Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences, https://arxiv.org/abs/2405.14629
  • Xiachong Feng, Longxu Dou, Ella Li, Qinghao Wang, Haochuan Wang, Yu Guo, Chang Ma, Lingpeng Kong, 20 Jul 2025, A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios, https://arxiv.org/abs/2412.03920
  • Ashley Lewis, Michael White, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang, 21 Jul 2025, Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in Product QA Agents, https://arxiv.org/abs/2502.19545
  • Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong, 19 Jul 2025, APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay, https://arxiv.org/abs/2504.03601
  • Felix H\"arer, 19 Jul 2025, Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications, https://arxiv.org/abs/2506.10467
  • Lance Yao, Suman Samantray, Ayana Ghosh, Kevin Roccapriore, Libor Kovarik, Sarah Allec, Maxim Ziatdinov, 7 Aug 2025, Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop, https://arxiv.org/abs/2508.06569
  • Xutong Zhao, Yaqi Xie, 9 Aug 2025, Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.06836
  • Keyu Li, Mohan Jiang, Dayuan Fu, Yunze Wu, Xiangkun Hu, Dequan Wang, Pengfei Liu, 9 Aug 2025, DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery, https://arxiv.org/abs/2508.06960
  • Changqing Li, Tianlin Li, Xiaohan Zhang, Aishan Liu, Li Pan, 9 Aug 2025, MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair, https://arxiv.org/abs/2508.06963
  • Amit Dhanda, 10 Aug 2025, Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables, https://arxiv.org/abs/2508.07186
  • Yi Tang, Kaini Wang, Yang Chen, Guangquan Zhou, 10 Aug 2025, EndoAgent: A Memory-Guided Reflective Agent for Intelligent Endoscopic Vision-to-Decision Reasoning, https://arxiv.org/abs/2508.07292
  • Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng, 10 Aug 2025, A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems, https://arxiv.org/abs/2508.07407
  • Dom Huh, Prasant Mohapatra, 10 Aug 2025, Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs, https://arxiv.org/abs/2508.07466
  • Stefan Szeider, 10 Aug 2025, CP-Agent: Agentic Constraint Programming, https://arxiv.org/abs/2508.07468
  • Shiqing Fan, Xichen Ding, Liang Zhang, Linjian Mo, 11 Aug 2025, MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark, https://arxiv.org/abs/2508.07575
  • Tianyi Ma, Yue Zhang, Zehao Wang, Parisa Kordjamshidi, 11 Aug 2025, Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents, https://arxiv.org/abs/2508.07642
  • Wenkai Li, Liwen Sun, Zhenxiang Guan, Xuhui Zhou, Maarten Sap, 11 Aug 2025, 1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning, https://arxiv.org/abs/2508.07667
  • Gianluca Bontempi, 11 Aug 2025, Ethics2vec: aligning automatic agents and human preferences, https://arxiv.org/abs/2508.07673
  • Chen Shen, Wanqing Zhang, Kehan Li, Erwen Huang, Haitao Bi, Aiying Fan, Yiwen Shen, Hongmei Dong, Ji Zhang, Yuming Shao, Zengjia Liu, Xinshe Liu, Tao Li, Chunxia Yan, Shuanliang Fan, Di Wu, Jianhua Ma, Bin Cong, Zhenyuan Wang, and Chunfeng Lian, 11 Aug 2025, FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis, https://arxiv.org/abs/2508.07950
  • Rui Miao and Yixin Liu and Yili Wang and Xu Shen and Yue Tan and Yiwei Dai and Shirui Pan and Xin Wang, 11 Aug 2025, BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks, https://arxiv.org/abs/2508.08127
  • Arman Dogru, R. Irem Bor-Yaliniz, and Nimal Gamini Senarath, 9 Aug 2025, PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems, https://arxiv.org/abs/2508.06767
  • Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang, 10 Aug 2025, LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference, https://arxiv.org/abs/2508.07221
  • Pravallika Abbineni, Saoud Aldowaish, Colin Liechty, Soroosh Noorzad, Ali Ghazizadeh, Morteza Fayazi, 11 Aug 2025, MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation, https://arxiv.org/abs/2508.08137
  • Myeung Suk Oh, Zhiyao Zhang, FNU Hairi, Alvaro Velasquez, Jia Liu, 9 Aug 2025, Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization, https://arxiv.org/abs/2508.07001
  • Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta, 11 Aug 2025, Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation, https://arxiv.org/abs/2508.07569
  • Jiongchi Yu, Xiaofei Xie, Qiang Hu, Yuhan Ma, Ziming Zhao, 11 Aug 2025, Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation, https://arxiv.org/abs/2508.07745
  • Yeana Lee Bond (1), Mungyeong Choe (2), Baker Kasim Hasan (1), Arsh Siddiqui (1), Myounghoon Jeon (1 (Courtesy Appointment), 2) ((1) Computer Science, Virginia Tech, Blacksburg, Virginia, USA, (2) Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA), 11 Aug 2025, ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience, https://arxiv.org/abs/2508.08101
  • Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary, Jiaru Bai, Shi Xuan Leong, Jorge Arturo Campos-Gonzalez-Angulo, Changhyeok Choi, Cher Tian Ser, Gary Tom, Andrew Wang, Zijian Zhang, Ilya Yakavets, Han Hao, Chris Crebolder, Varinia Bernales, Al\'an Aspuru-Guzik, 8 Aug 2025, El Agente: An Autonomous Agent for Quantum Chemistry, https://arxiv.org/abs/2505.02484
  • Shuquan Lian, Yuhang Wu, Jia Ma, Yifan Ding, Zihan Song, Bingqi Chen, Xiawu Zheng, Hui Li, 9 Aug 2025, UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding, https://arxiv.org/abs/2507.22025
  • Rui Lu and Jinhe Bi and Yunpu Ma and Feng Xiao and Yuntao Du and Yijun Tian, 10 Aug 2025, MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media, https://arxiv.org/abs/2508.05557
  • Yiye Chen, Harpreet Sawhney, Nicholas Gyd\'e, Yanan Jian, Jack Saunders, Patricio Vela, Ben Lundell, 8 Aug 2025, Schema-Guided Scene-Graph Reasoning based on Multi-Agent Large Language Model System, https://arxiv.org/abs/2502.03450
  • Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu, 9 Aug 2025, Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents, https://arxiv.org/abs/2505.19997
  • Jun Liu and Zhenglun Kong and Changdi Yang and Fan Yang and Tianqi Li and Peiyan Dong and Joannah Nanjekye and Hao Tang and Geng Yuan and Wei Niu and Wenbin Zhang and Pu Zhao and Xue Lin and Dong Huang and Yanzhi Wang, 10 Aug 2025, RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory, https://arxiv.org/abs/2508.04903
  • Minghao Guo, Xi Zhu, Jingyuan Huang, Kai Mei, Yongfeng Zhang, 11 Aug 2025, ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network, https://arxiv.org/abs/2508.00429
  • Maria Emilia Mazzolenis and Ruirui Zhang, 23 Jul 2025, Agent WARPP: Workflow Adherence via Runtime Parallel Personalization, https://arxiv.org/abs/2507.19543
  • Vince Trencsenyi and Agnieszka Mensfelt and Kostas Stathis, 25 Jul 2025, Hypergames: Modeling Misaligned Perceptions and Nested Beliefs for Multi-agent Systems, https://arxiv.org/abs/2507.19593
  • Leonardo Villalobos-Arias, Grant Forbes, Jianxun Wang, David L Roberts, Arnav Jhala, 26 Jul 2025, Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors, https://arxiv.org/abs/2507.19725
  • Zhonghan Ge, Yuanyang Zhu, Chunlin Chen, 27 Jul 2025, Concept Learning for Cooperative Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2507.20143
  • Yufan Chen, Ching Ting Leung, Bowen Yu, Jianwei Sun, Yong Huang, Linyan Li, Hao Chen, Hanyu Gao, 27 Jul 2025, A Multi-Agent System for Information Extraction from the Chemical Literature, https://arxiv.org/abs/2507.20230
  • Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen, 27 Jul 2025, SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration, https://arxiv.org/abs/2507.20280
  • Farshid Nooshi and Suining He, 27 Jul 2025, Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping, https://arxiv.org/abs/2507.20377
  • Andy Zou, Maxwell Lin, Eliot Jones, Micha Nowak, Mateusz Dziemian, Nick Winter, Alexander Grattan, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Nate Burnikell, Yarin Gal, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson, 28 Jul 2025, Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition, https://arxiv.org/abs/2507.20526
  • Aran Nayebi, 28 Jul 2025, Core Safety Values for Provably Corrigible Agents, https://arxiv.org/abs/2507.20964
  • Weichen Zhang,Yiyou Sun,Pohao Huang,Jiayue Pu,Heyue Lin,Dawn Song, 28 Jul 2025, MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them, https://arxiv.org/abs/2507.21017
  • Haoyang Liu, Yijiang Li, Haohan Wang, 28 Jul 2025, GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis, https://arxiv.org/abs/2507.21035
  • Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenghailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang, 28 Jul 2025, A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence, https://arxiv.org/abs/2507.21046
  • Xin Zhang, Lissette Iturburu, Juan Nicolas Villamizar, Xiaoyu Liu, Manuel Salmeron, Shirley J.Dyke, Julio Ramirez, 26 Jul 2025, Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation, https://arxiv.org/abs/2507.19771
  • Qing Dong, Pengyuan Liu, Dong Yu, Chen Kang, 4 Jun 2025, Simulating Human Behavior with the Psychological-mechanism Agent: Integrating Feeling, Thought, and Action, https://arxiv.org/abs/2507.19495
  • Yue Wu, Xiaolan Chen, Weiyi Zhang, Shunming Liu, Wing Man Rita Sum, Xinyuan Wu, Xianwen Shang, Chea-su Kee, Mingguang He, Danli Shi, 6 Jun 2025, ChatMyopia: An AI Agent for Pre-consultation Education in Primary Eye Care Settings, https://arxiv.org/abs/2507.19498
  • Faruk Alpay, Hamdi Alakkad, Bugra Kilictas, Taylan Alpay, 25 Jul 2025, Ultracoarse Equilibria and Ordinal-Folding Dynamics in Operator-Algebraic Models of Infinite Multi-Agent Games, https://arxiv.org/abs/2507.19694
  • Sourena Khanzadeh, 26 Jul 2025, AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation, https://arxiv.org/abs/2507.19902
  • Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, Abdulaziz S. Albadawi, Ranya A. Alkahtani, Asma A. Ibrahim, Haneen A. Alhomoud, Sherif Mohamed, Pedro J. Moreno, 27 Jul 2025, Multi-Agent Interactive Question Generation Framework for Long Document Understanding, https://arxiv.org/abs/2507.20145
  • Chieh-Yun Chen, Min Shi, Gong Zhang, Humphrey Shi, 28 Jul 2025, T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation, https://arxiv.org/abs/2507.20536
  • Harsh Purohit, Tomoya Nishida, Kota Dohi, Takashi Endo, and Yohei Kawaguchi, 28 Jul 2025, MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detection, https://arxiv.org/abs/2507.20666
  • Wei Lu, Daniel L. Chen, Christian B. Hansen, 28 Jul 2025, Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach, https://arxiv.org/abs/2507.20796
  • Yanbin Li, Canran Xiao, Hongyang He, Shenghai Yuan, Zong Ke, Jiajie Yu, Zixiong Qin, Zhiguo Zhang, Wenzheng Chi and Wei Zhang, 26 Jul 2025, DOA: A Degeneracy Optimization Agent with Adaptive Pose Compensation Capability based on Deep Reinforcement Learning, https://arxiv.org/abs/2507.19742
  • Siyi Wu, Zhaoyang Guan, Leyi Zhao, Xinyuan Song, Xinyu Ying, Hanlin Zhang, Michele Pak, Yangfan He, Yi Xin, Jianhui Wang, and Tianyu Shi, 13 Jul 2025, MountainLion: A Multi-Modal LLM-Based Agent System for Interpretable and Adaptive Financial Trading, https://arxiv.org/abs/2507.20474
  • Alexander Dean, Eduardo Alonso and Esther Mondragon, 27 Jul 2025, Algebras of actions in an agent's representations of the world, https://arxiv.org/abs/2310.01536
  • Zheng Zhang, Nuoqian Xiao, Qi Chai, Deheng Ye, Hao Wang, 28 Jul 2025, MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind, https://arxiv.org/abs/2504.18039
  • Hao Zhu, Phil Cuvin, Xinkai Yu, Charlotte Ka Yee Yan, Jason Zhang, Diyi Yang, 28 Jul 2025, AutoLibra: Agent Metric Induction from Open-Ended Feedback, https://arxiv.org/abs/2505.02820
  • Kun Li, Zhennan Wu, Shoupeng Wang, Jia Wu, Shirui Pan and Wenbin Hu, 28 Jul 2025, DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery, https://arxiv.org/abs/2505.13940
  • Kaito Baba, Chaoran Liu, Shuhei Kurita, Akiyoshi Sannai, 28 Jul 2025, Prover Agent: An Agent-based Framework for Formal Mathematical Proofs, https://arxiv.org/abs/2506.19923
  • Matthew E. Brophy, 25 Jul 2025, Black Box Deployed -- Functional Criteria for Artificial Moral Agents in the LLM Era, https://arxiv.org/abs/2507.13175
  • Songyang Liu, Muyang Fan, Weizi Li, Jing Du, Shuai Li, 26 Jul 2025, Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning, https://arxiv.org/abs/2504.04691
  • Tien Comlekoglu, J. Quetzalc\'oatl Toledo-Mar\'in, Tina Comlekoglu, Douglas W. DeSimone, Shayn M. Peirce, Geoffrey Fox, James A. Glazier, 27 Jul 2025, Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture, https://arxiv.org/abs/2505.00316
  • Wenhao Ma, Yu-Cheng Chang, Jie Yang, Yu-Kai Wang, Chin-Teng Lin, 28 Jul 2025, Contrastive learning-based agent modeling for deep reinforcement learning, https://arxiv.org/abs/2401.00132
  • Ivoline Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, 28 Jul 2025, Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents, https://arxiv.org/abs/2502.18509
  • Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister, 28 Jul 2025, In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents, https://arxiv.org/abs/2503.08026
  • K. J. Kevin Feng, David W. McDonald, Amy X. Zhang, 28 Jul 2025, Levels of Autonomy for AI Agents, https://arxiv.org/abs/2506.12469
  • William Scarbro, Calum Imrie, Sinem Getir Yaman, Kavan Fatehi, Corina S. Pasareanu, Radu Calinescu, Ravi Mangal, 26 Jul 2025, Conformal Safety Shielding for Imperfect-Perception Agents, https://arxiv.org/abs/2506.17275

Multi-Agent Architectures

Research papers on multi-agent architectures:

  • Anton Antich, May 17, 2024, Anatomy of an AI Multi-Agent: How do we build a useful AI agent? https://medium.com/superstringtheory/anatomy-of-an-ai-multi-agent-e2cfedc3b050
  • Sandi Besen, Apr 24, 2024, The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey, Towards Data Science, https://towardsdatascience.com/the-landscape-of-emerging-ai-agent-architectures-for-reasoning-planning-and-tool-calling-a-a95214b743c1
  • Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou, 7 Jun 2024, Mixture-of-Agents Enhances Large Language Model Capabilities, https://arxiv.org/abs/2406.04692
  • Ignacio de Gregorio, June 2024, Mixture-of-Agents Beats ChatGPT-4o: Collaboration is Intelligence, https://medium.com/@ignacio.de.gregorio.noblejas/mixture-of-agents-beats-chatgpt-4o-6470a74f1525
  • Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si, 19 Jun 2024, APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts, https://arxiv.org/abs/2406.13161 Code: https://github.com/appl-team/appl (A Python-like script language for prompt engineering integration into applications and agents.)
  • Mariya Mansurova, Jun 17, 2024, Multi AI Agent Systems 101: Automating Routine Tasks in Data Source Management with CrewAI, https://towardsdatascience.com/multi-ai-agent-systems-101-bac58e3bcc47
  • Assaf Elovic, May 10, 2024, How to Build the Ultimate AI Automation with Multi-Agent Collaboration, https://medium.com/@assafelovic/how-to-build-the-ultimate-ai-automation-with-multi-agent-collaboration-ed61a1ea8f3b
  • Haolin Jin, Linghan Huang, Haipeng Cai, Jun Yan, Bo Li, Huaming Chen, 5 Aug 2024, From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future, https://arxiv.org/abs/2408.02479
  • Lakshmi narayana .U, Jul 28, 2024, STORM: Stanford’s Revolutionary Research Tool Harnessing the Power of Agents and Agentic Workflows, https://blog.stackademic.com/storm-stanfords-revolutionary-research-tool-harnessing-the-power-of-agents-and-agentic-workflows-a2fa0e1a7fe3
  • Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi, 9 Aug 2024, AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems, https://arxiv.org/abs/2408.15247
  • Vipin Nair, Aug 10, 2024, A Simple Guide to Collaborative AI Agents with LangGraph, https://medium.com/aitech/a-simple-guide-to-collaborative-ai-agents-with-langgraph-d6b89e13560f
  • Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou, 4 Sep 2024, Large Language Model-Based Agents for Software Engineering: A Survey, https://arxiv.org/abs/2409.02977 Project: https://github.com/FudanSELab/Agent4SE-Paper-List
  • Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park, 5 Sep 2024, PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization, https://arxiv.org/abs/2409.03811 https://github.com/ai4co/parco
  • Ilan Bigio, Oct 10, 2024, Orchestrating Agents: Routines and Handoffs, https://cookbook.openai.com/examples/orchestrating_agents
  • Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen, 3 Oct 2024, Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems, https://arxiv.org/abs/2410.02506 (Address the inter-agent communication bottleneck in multi-agent systems.)
  • Anita Kirkovska, David Vargas, Jul 11, 2024, Agentic Workflows in 2024: The ultimate guide, https://www.vellum.ai/blog/agentic-workflows-emerging-architectures-and-design-patterns
  • A. Singh, A. Ehtesham, S. Kumar and T. T. Khoei, "Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model," 2024 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2024, pp. 527-532, doi: 10.1109/AIIoT61789.2024.10578990. https://ieeexplore.ieee.org/abstract/document/10578990
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  • Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie, Daoyuan Chen, Liuyi Yao, Hongyi Peng, Zeyu Zhang, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou, 20 May 2024 (v2), AgentScope: A Flexible yet Robust Multi-Agent Platform, https://arxiv.org/abs/2402.14034 https://github.com/modelscope/agentscope
  • Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, Nanqing Dong, 12 Oct 2024, Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation, https://arxiv.org/abs/2410.09403
  • Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding, 13 Oct 2024, Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation, https://arxiv.org/abs/2410.09824
  • Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu, 7 Oct 2024, Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents, https://arxiv.org/abs/2410.05130
  • Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou, 25 Jul 2024, Very Large-Scale Multi-Agent Simulation in AgentScope, https://arxiv.org/abs/2407.17789
  • Qian Wang, Tianyu Wang, Qinbin Li, Jingsheng Liang, Bingsheng He, 20 Aug 2024 (v2), MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems, https://arxiv.org/abs/2408.09955 https://anonymous.4open.science/r/MegaAgent-81F3
  • Mohammadreza Doostmohammadian, Sérgio Pequito, 27 Oct 2024, Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks. https://arxiv.org/abs/2410.20345
  • Jonas Becker, 30 Oct 2024, Multi-Agent Large Language Models for Conversational Task-Solving, https://arxiv.org/abs/2410.22932
  • Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen, 1 Nov 2024, Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models, https://arxiv.org/abs/2411.00492
  • Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Jang, Zack Hui, 13 Sep 2024 (v2), Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale, https://arxiv.org/abs/2409.08264
  • Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, Ling Chen, 4 Nov 2024, Foundations and Recent Trends in Multimodal Mobile Agents: A Survey, https://arxiv.org/abs/2411.02006 https://github.com/aialt/awesome-mobile-agents
  • Eric Broda, Nov 2024, Agentic Mesh: The Future of Generative AI-Enabled Autonomous Agent Ecosystems https://towardsdatascience.com/agentic-mesh-the-future-of-generative-ai-enabled-autonomous-agent-ecosystems-d6a11381c979
  • Mohammed Lubbad, Oct 11, 2024, Top 4 Agentic AI Architecture Design Patterns, https://mlubbad.medium.com/top-4-agentic-ai-architecture-design-patterns-2ad890a543e8
  • Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis, 5 Nov 2024, AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution https://arxiv.org/abs/2411.03519 (Scheduling multiple agents.)
  • Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff, 12 Nov 2024, BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks, https://arxiv.org/abs/2411.07464
  • Jared Spataro, November 19, 2024, Introducing Copilot Actions, new agents, and tools to empower IT teams, https://www.microsoft.com/en-us/microsoft-365/blog/2024/11/19/introducing-copilot-actions-new-agents-and-tools-to-empower-it-teams/ ("Copilot is the UI for AI")
  • Yingxuan Yang, Qiuying Peng, Jun Wang, Weinan Zhang, 21 Nov 2024, Multi-LLM-Agent Systems: Techniques and Business Perspectives, https://arxiv.org/abs/2411.14033
  • Ziyang Huang, Jun Zhao, Kang Liu, 1 Dec 2024, Towards Adaptive Mechanism Activation in Language Agent, https://arxiv.org/abs/2412.00722
  • Agnostiq, Dec 2024, multi-agent-llm: LLM based Multi-Agent methods: Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT), https://github.com/AgnostiqHQ/multi-agent-llm
  • Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen, https://arxiv.org/abs/2412.13437 18 Dec 2024, Deploying Foundation Model Powered Agent Services: A Survey, (A survey of not just deployment, but many inference optimization techniques.)
  • Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Manu Ponnapati, Albert Bou, Jon Laurent, Ori Kabeli, Geemi Wellawatte, Sam Cox, Samuel G. Rodriques, Andrew D. White, 30 Dec 2024. Aviary: training language agents on challenging scientific tasks, https://arxiv.org/abs/2412.21154
  • Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian, 2 Jan 2025, Reasoning based on symbolic and parametric knowledge bases: a survey, https://arxiv.org/abs/2501.01030 (Extensive survey of reasoning from CoT to knowledge graphs to table-based reasoning.)
  • Chirag Shah, Ryen W. White, 19 Dec 2024, Agents Are Not Enough, https://www.arxiv.org/abs/2412.16241
  • Austin Starks, Jan 2025, You are an absolute moron for believing in the hype of “AI Agents”. https://medium.com/@austin-starks/you-are-an-absolute-moron-for-believing-in-the-hype-of-ai-agents-c0f760e7e48e
  • Manish Sanwal, 3 Feb 2025 (v2), Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models, https://arxiv.org/abs/2501.18645
  • Alexandru-Andrei Avram, Adrian Groza, Alexandru Lecu, 13 Aug 2025, MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection, https://arxiv.org/abs/2508.10143
  • Stepan Kulibaba, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander Gasnikov, Aleksei Shpilman, 13 Aug 2025, KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems, https://arxiv.org/abs/2508.10177
  • Chak Lam Shek, Guangyao Shi, Pratap Tokekar, 14 Aug 2025, Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach, https://arxiv.org/abs/2508.10340
  • Guanzi Yao, Heyao Liu, Linyan Dai, 14 Aug 2025, Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters, https://arxiv.org/abs/2508.10253
  • Jiulin Li, Ping Huang, Yexin Li, Shuo Chen, Juewen Hu, Ye Tian, 14 Aug 2025, A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation, https://arxiv.org/abs/2508.10494
  • Qi Liu, Xiaopeng Zhang, Mingshan Tan, Shuaikang Ma, Jinliang Ding, Yanjie Li, 14 Aug 2025, MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion, https://arxiv.org/abs/2508.10423
  • Xuchuang Wang, Bo Sun, Hedyeh Beyhaghi, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, 13 Aug 2025, Competitive Algorithms for Multi-Agent Ski-Rental Problems, https://arxiv.org/abs/2507.15727
  • Jingtian Yan, Zhifei Li, William Kang, Kevin Zheng, Yulun Zhang, Zhe Chen, Yue Zhang, Daniel Harabor, Stephen F. Smith, Jiaoyang Li, 14 Aug 2025, Advancing MAPF towards the Real World: A Scalable Multi-Agent Realistic Testbed (SMART), https://arxiv.org/abs/2503.04798
  • Shao-Hung Chan, Thomy Phan, Jiaoyang Li, Sven Koenig, 22 Jul 2025, New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding, https://arxiv.org/abs/2507.17054
  • Raz Beck and Roni Stern, 22 Jul 2025, Budget Allocation Policies for Real-Time Multi-Agent Path Finding, https://arxiv.org/abs/2507.16874
  • Chengxuan Xia, Qianye Wu, Sixuan Tian, Yilun Hao, 22 Jul 2025, Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems, https://arxiv.org/abs/2507.17061
  • Mariam ALMutairi, Hyungmin Kim, 23 Jul 2025, Resilient Multi-Agent Negotiation for Medical Supply Chains:Integrating LLMs and Blockchain for Transparent Coordination, https://arxiv.org/abs/2507.17134
  • Fangze Lin, Ying He, Fei Yu and Hong Zhang, 23 Jul 2025, JAM: Keypoint-Guided Joint Prediction after Classification-Aware Marginal Proposal for Multi-Agent Interaction, https://arxiv.org/abs/2507.17152
  • Lijie Zheng, Ji He, Shih Yu Chang, Yulong Shen and Dusit Niyato, 23 Jul 2025, LLM Meets the Sky: Heuristic Multi-Agent Reinforcement Learning for Secure Heterogeneous UAV Networks, https://arxiv.org/abs/2507.17188
  • Hugh Adams, Srijoni Majumdar, Evangelos Pournaras, 23 Jul 2025, Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach, https://arxiv.org/abs/2507.17433
  • Li-Hsiang Shen, Jyun-Jhe Huang, 22 Jul 2025, CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks, https://arxiv.org/abs/2507.16204
  • Ali Mohamed Ali, Luca Tirel and Hashim A. Hashim, 22 Jul 2025, Novel Multi-Agent Action Masked Deep Reinforcement Learning for General Industrial Assembly Lines Balancing Problems, https://arxiv.org/abs/2507.16635
  • Mian Ibad Ali Shah, Enda Barrett, Karl Mason, 22 Jul 2025, Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2507.16796
  • Srivatsan Krishnan, Jason Jabbour, Dan Zhang, Natasha Jaques, Aleksandra Faust, Shayegan Omidshafiei, Vijay Janapa Reddi, 22 Jul 2025, Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping, https://arxiv.org/abs/2507.16249
  • Roland Pihlakas, Joel Pyykk\"o, 22 Jul 2025, From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent AI safety benchmarks, https://arxiv.org/abs/2410.00081
  • Yueheng Li, Guangming Xie, Zongqing Lu, 24 Jul 2025, Multi-Agent Guided Policy Optimization, https://arxiv.org/abs/2507.18059
  • Yao Fehlis, Charles Crain, Aidan Jensen, Michael Watson, James Juhasz, Paul Mandel, Betty Liu, Shawn Mahon, Daren Wilson, Nick Lynch-Jonely, Ben Leedom, David Fuller, 18 Jul 2025, Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation, https://arxiv.org/abs/2507.17852
  • Yao Shi, Rongkeng Liang, Yong Xu, 24 Jul 2025, EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework, https://arxiv.org/abs/2504.14928
  • Qibing Ren, Sitao Xie, Longxuan Wei, Zhenfei Yin, Junchi Yan, Lizhuang Ma, Jing Shao, 24 Jul 2025, When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems, https://arxiv.org/abs/2507.14660
  • Kathrin Korte, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese, 18 Jul 2025, Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments, https://arxiv.org/abs/2507.13846
  • Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song, Jiwei Chen, 11 Jul 2025, H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance, https://arxiv.org/abs/2507.13370
  • Jing Fang, Saihao Yan, Xueyu Yin, Yinbo Yu, Chunwei Tian, and Jiajia Liu, 18 Jul 2025, BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems, https://arxiv.org/abs/2501.01593
  • Asma Yamani and Malak Baslyman and Moataz Ahmed, 18 Jul 2025, Multi-Agent LLMs as Ethics Advocates for AI-Based Systems, https://arxiv.org/abs/2507.08392
  • Xiaowen Ma, Chenyang Lin, Yao Zhang, Volker Tresp, Yunpu Ma, 18 Jul 2025, Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation, https://arxiv.org/abs/2506.09046
  • Humza Sami, Mubashir ul Islam, Pierre-Emmanuel Gaillardon, Valerio Tenace, 18 Jul 2025, Adaptive Multi-Agent Reasoning via Automated Workflow Generation, https://arxiv.org/abs/2507.14393
  • Sai Wang, Senthilnathan Subramanian, Mudit Sahni, Praneeth Gone, Lingjie Meng, Xiaochen Wang, Nicolas Ferradas Bertoli, Tingxian Cheng, Jun Xu, 19 Jul 2025, Configurable multi-agent framework for scalable and realistic testing of llm-based agents, https://arxiv.org/abs/2507.14705
  • Junhyeong Lee, Joon-Young Kim, Heekyu Kim, Inhyo Lee and Seunghwa Ryu, 21 Jul 2025, IM-Chat: A Multi-agent LLM-based Framework for Knowledge Transfer in Injection Molding Industry, https://arxiv.org/abs/2507.15268
  • Zijian Zhao, Sen Li, 21 Jul 2025, One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms, https://arxiv.org/abs/2507.15351
  • Jingyi Zheng, Zifan Peng, Yule Liu, Junfeng Wang, Yifan Liao, Wenhan Dong, Xinlei He, 21 Jul 2025, GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts, https://arxiv.org/abs/2507.15761
  • H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos Cassandras, Wenchao Li, 20 Jul 2025, Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems, https://arxiv.org/abs/2507.14850
  • Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei, 21 Jul 2025, Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control, https://arxiv.org/abs/2507.15174
  • Yinsong Chen, Kaifeng Wang, Xiaoqiang Meng, Xueyuan Li, Zirui Li, Xin Gao, 21 Jul 2025, Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario, https://arxiv.org/abs/2507.15587
  • Shengji Tang, Jianjian Cao, Weihao Lin, Jiale Hong, Bo Zhang, Shuyue Hu, Lei Bai, Tao Chen, Wanli Ouyang, Peng Ye, 14 Jul 2025, Open-Source LLMs Collaboration Beats Closed-Source LLMs: A Scalable Multi-Agent System, https://arxiv.org/abs/2507.14200
  • Xinheng Lyu, Yuci Liang, Wenting Chen, Meidan Ding, Jiaqi Yang, Guolin Huang, Daokun Zhang, Xiangjian He, and Linlin Shen, 19 Jul 2025, WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis, https://arxiv.org/abs/2507.14680
  • Faizan Contractor, Li Li, Ranwa Al Mallah, 19 Jul 2025, Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence, https://arxiv.org/abs/2507.14658
  • Seth Karten, Wenzhe Li, Zihan Ding, Samuel Kleiner, Yu Bai, Chi Jin, 21 Jul 2025, LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra, https://arxiv.org/abs/2507.15815
  • Xiaofeng Shi, Qian Kou, Yuduo Li, Ning Tang, Jinxin Xie, Longbin Yu, Songjing Wang, Hua Zhou, 21 Jul 2025, SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation, https://arxiv.org/abs/2506.12689
  • Felix H\"arer, 19 Jul 2025, Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications, https://arxiv.org/abs/2506.10467
  • Lance Yao, Suman Samantray, Ayana Ghosh, Kevin Roccapriore, Libor Kovarik, Sarah Allec, Maxim Ziatdinov, 7 Aug 2025, Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop, https://arxiv.org/abs/2508.06569
  • Xutong Zhao, Yaqi Xie, 9 Aug 2025, Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.06836
  • Changqing Li, Tianlin Li, Xiaohan Zhang, Aishan Liu, Li Pan, 9 Aug 2025, MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair, https://arxiv.org/abs/2508.06963
  • Dom Huh, Prasant Mohapatra, 10 Aug 2025, Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs, https://arxiv.org/abs/2508.07466
  • Wenkai Li, Liwen Sun, Zhenxiang Guan, Xuhui Zhou, Maarten Sap, 11 Aug 2025, 1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning, https://arxiv.org/abs/2508.07667
  • Chen Shen, Wanqing Zhang, Kehan Li, Erwen Huang, Haitao Bi, Aiying Fan, Yiwen Shen, Hongmei Dong, Ji Zhang, Yuming Shao, Zengjia Liu, Xinshe Liu, Tao Li, Chunxia Yan, Shuanliang Fan, Di Wu, Jianhua Ma, Bin Cong, Zhenyuan Wang, and Chunfeng Lian, 11 Aug 2025, FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis, https://arxiv.org/abs/2508.07950
  • Rui Miao and Yixin Liu and Yili Wang and Xu Shen and Yue Tan and Yiwei Dai and Shirui Pan and Xin Wang, 11 Aug 2025, BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks, https://arxiv.org/abs/2508.08127
  • Arman Dogru, R. Irem Bor-Yaliniz, and Nimal Gamini Senarath, 9 Aug 2025, PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems, https://arxiv.org/abs/2508.06767
  • Myeung Suk Oh, Zhiyao Zhang, FNU Hairi, Alvaro Velasquez, Jia Liu, 9 Aug 2025, Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization, https://arxiv.org/abs/2508.07001
  • Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta, 11 Aug 2025, Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation, https://arxiv.org/abs/2508.07569
  • Jiongchi Yu, Xiaofei Xie, Qiang Hu, Yuhan Ma, Ziming Zhao, 11 Aug 2025, Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation, https://arxiv.org/abs/2508.07745
  • Yiye Chen, Harpreet Sawhney, Nicholas Gyd\'e, Yanan Jian, Jack Saunders, Patricio Vela, Ben Lundell, 8 Aug 2025, Schema-Guided Scene-Graph Reasoning based on Multi-Agent Large Language Model System, https://arxiv.org/abs/2502.03450
  • Jun Liu and Zhenglun Kong and Changdi Yang and Fan Yang and Tianqi Li and Peiyan Dong and Joannah Nanjekye and Hao Tang and Geng Yuan and Wei Niu and Wenbin Zhang and Pu Zhao and Xue Lin and Dong Huang and Yanzhi Wang, 10 Aug 2025, RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory, https://arxiv.org/abs/2508.04903
  • Vince Trencsenyi and Agnieszka Mensfelt and Kostas Stathis, 25 Jul 2025, Hypergames: Modeling Misaligned Perceptions and Nested Beliefs for Multi-agent Systems, https://arxiv.org/abs/2507.19593
  • Zhonghan Ge, Yuanyang Zhu, Chunlin Chen, 27 Jul 2025, Concept Learning for Cooperative Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2507.20143
  • Yufan Chen, Ching Ting Leung, Bowen Yu, Jianwei Sun, Yong Huang, Linyan Li, Hao Chen, Hanyu Gao, 27 Jul 2025, A Multi-Agent System for Information Extraction from the Chemical Literature, https://arxiv.org/abs/2507.20230
  • Farshid Nooshi and Suining He, 27 Jul 2025, Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping, https://arxiv.org/abs/2507.20377
  • Haoyang Liu, Yijiang Li, Haohan Wang, 28 Jul 2025, GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis, https://arxiv.org/abs/2507.21035
  • Faruk Alpay, Hamdi Alakkad, Bugra Kilictas, Taylan Alpay, 25 Jul 2025, Ultracoarse Equilibria and Ordinal-Folding Dynamics in Operator-Algebraic Models of Infinite Multi-Agent Games, https://arxiv.org/abs/2507.19694
  • Sourena Khanzadeh, 26 Jul 2025, AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation, https://arxiv.org/abs/2507.19902
  • Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, Abdulaziz S. Albadawi, Ranya A. Alkahtani, Asma A. Ibrahim, Haneen A. Alhomoud, Sherif Mohamed, Pedro J. Moreno, 27 Jul 2025, Multi-Agent Interactive Question Generation Framework for Long Document Understanding, https://arxiv.org/abs/2507.20145
  • Chieh-Yun Chen, Min Shi, Gong Zhang, Humphrey Shi, 28 Jul 2025, T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation, https://arxiv.org/abs/2507.20536
  • Songyang Liu, Muyang Fan, Weizi Li, Jing Du, Shuai Li, 26 Jul 2025, Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning, https://arxiv.org/abs/2504.04691
  • Monika Zamojska and Jaros{\l}aw A. Chudziak, 28 Jul 2025, Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems, https://arxiv.org/abs/2507.21354
  • Callie C. Liao, Duoduo Liao, Sai Surya Gadiraju, 8 Jul 2025, AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysis, https://arxiv.org/abs/2507.21105
  • Ruiyin Li, Yiran Zhang, Xiyu Zhou, Peng Liang, Weisong Sun, Jifeng Xuan, Zhi Jin, Yang Liu, 28 Jul 2025, MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration, https://arxiv.org/abs/2507.21382
  • Wenbo Liu, Forbes Hou, Jon Zhang, Hong Liu, Allen Lei, 29 Jul 2025, A Multi-Agent Generative AI Framework for IC Module-Level Verification Automation, https://arxiv.org/abs/2507.21694
  • Yaobin Ling, Xiaoqian Jiang, Yejin Kim, 28 Jul 2025, MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data, https://arxiv.org/abs/2406.10521
  • Prithvi Poddar, Ehsan Tarkesh Esfahani, Karthik Dantu and Souma Chowdhury, 29 Jul 2025, Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning, https://arxiv.org/abs/2506.20031
  • Hui Yi Leong, Yuqing Wu, 31 Jul 2025, DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System, https://arxiv.org/abs/2507.23261
  • Tommaso Marzi, Cesare Alippi, Andrea Cini, 31 Jul 2025, Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2507.23604
  • Ehsan Latif, Zirak Khan, and Xiaoming Zhai, 29 Jun 2025, SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches, https://arxiv.org/abs/2507.22904
  • Ishani Mondal, Meera Bharadwaj, Ayush Roy, Aparna Garimella, Jordan Lee Boyd-Graber, 30 Jul 2025, SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity, https://arxiv.org/abs/2507.23095
  • Virginia Padilla and Jacinto D\'avila, 31 Jul 2025, A survey of multi-agent geosimulation methodologies: from ABM to LLM, https://arxiv.org/abs/2507.23694
  • Han Li, Yuling Shi, Shaoxin Lin, Xiaodong Gu, Heng Lian, Xin Wang, Yantao Jia, Tao Huang, Qianxiang Wang, 31 Jul 2025, SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution, https://arxiv.org/abs/2507.23348
  • Shiyue Wang, Haozheng Xu, Yuhan Zhang, Jingran Lin, Changhong Lu, Xiangfeng Wang, Wenhao Li, 31 Jul 2025, Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding, https://arxiv.org/abs/2505.19219
  • Zerui Yang and Yuwei Wan and Siyu Yan and Yudai Matsuda and Tong Xie and Bram Hoex and Linqi Song, 31 Jul 2025, DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search, https://arxiv.org/abs/2507.07426
  • Hugo Garrido-Lestache and Jeremy Kedziora, 31 Jul 2025, Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies, https://arxiv.org/abs/2507.22782
  • Samir Abdaljalil, Hasan Kurban, Khalid Qaraqe, Erchin Serpedin, 31 Jul 2025, Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models, https://arxiv.org/abs/2506.07106
  • Hongyan Cheng, Chengzhang Yu, Yanshu Shi, Chiyue Wang, Cong Liu, and Zhanpeng Jin, 30 Jul 2025, Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach, https://arxiv.org/abs/2507.22504
  • Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao, 30 Jul 2025, MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines, https://arxiv.org/abs/2507.22606
  • Black Sun, Die (Delia) Hu, 29 Jul 2025, CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification, https://arxiv.org/abs/2507.22205
  • Salar Basiri, Dhananjay Tiwari, Srinivasa M. Salapaka, 30 Jul 2025, Parametrized Multi-Agent Routing via Deep Attention Models, https://arxiv.org/abs/2507.22338
  • Muyang Li, 25 Jul 2025, From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems, https://arxiv.org/abs/2507.22077
  • Dane Malenfant, Blake A. Richards, 30 Jul 2025, The challenge of hidden gifts in multi-agent reinforcement learning, https://arxiv.org/abs/2505.20579
  • Riddhi J. Pitliya, Ozan Catal, Toon Van de Maele, Corrado Pezzato, Tim Verbelen, 1 Aug 2025, Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation, https://arxiv.org/abs/2508.00401
  • Alexia Jolicoeur-Martineau, 1 Aug 2025, Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings, https://arxiv.org/abs/2508.00632
  • Weilun Yu, Shixiang Tang, Yonggui Huang, Nanqing Dong, Li Fan, Honggang Qi, Wei Liu, Xiaoli Diao, Xi Chen and Wanli Ouyang, 1 Aug 2025, Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team, https://arxiv.org/abs/2506.18348
  • Yujing Ke and Kevin George and Kathan Pandya and David Blumenthal and Maximilian Sprang and Gerrit Gro{\ss}mann and Sebastian Vollmer and David Antony Selby, 2 Aug 2025, BioDisco: Multi-agent hypothesis generation with dual-mode evidence, iterative feedback and temporal evaluation, https://arxiv.org/abs/2508.01285
  • Jingtian Yan, Stephen F. Smith, Jiaoyang Li, 2 Aug 2025, WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning, https://arxiv.org/abs/2508.01495
  • Tadisetty Sai Yashwanth, Dhatri C, 3 Aug 2025, A Multi-Agent Pokemon Tournament for Evaluating Strategic Reasoning of Large Language Models, https://arxiv.org/abs/2508.01623
  • Nicholas E. Corrado, Josiah P. Hanna, 1 Aug 2025, Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies, https://arxiv.org/abs/2508.01049
  • Jiayi Chen, Jing Li, Guiling Wang, 2 Aug 2025, MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management, https://arxiv.org/abs/2508.01173
  • Xinzheng Wu, Junyi Chen, Shaolingfeng Ye, Wei Jiang, Yong Shen, 4 Aug 2025, An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.02027
  • Ziye Jia, Sijie He, Qiuming Zhu, Wei Wang, Qihui Wu, and Zhu Han, 31 Jul 2025, Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning, https://arxiv.org/abs/2508.00938
  • Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci, 2 Aug 2025, GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification, https://arxiv.org/abs/2508.01293
  • Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky, Javier Alonso-Mora, Sihao Sun, 2 Aug 2025, Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.01522
  • Mansura Habiba, Nafiul I. Khan, 3 Aug 2025, Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems, https://arxiv.org/abs/2508.01531
  • Akshay Dodwadmath, Setareh Maghsudi, 4 Aug 2025, Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.02421
  • Hyunjn An, Yongwon Kim, Wonduk Seo, Joonil Park, Daye Kang, Changhoon Oh, Dokyun Kim, Seunghyun Lee, 4 Aug 2025, AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration, https://arxiv.org/abs/2508.02470
  • Wen-Tse Chen, Yuxuan Li, Shiyu Huang, Jiayu Chen, Jeff Schneider, 4 Aug 2025, ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2406.13930
  • Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok, 2 Aug 2025, ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination, https://arxiv.org/abs/2507.19151
  • Ziruo Yi, Jinyu Liu, Ting Xiao, Mark V. Albert, 4 Aug 2025, A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering, https://arxiv.org/abs/2508.02841
  • Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, M\'onica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li, 5 Aug 2025, AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots, https://arxiv.org/abs/2508.02999
  • Qi Peng, Jialin Cui, Jiayuan Xie, Yi Cai, Qing Li, 5 Aug 2025, Tree-of-Reasoning: Towards Complex Medical Diagnosis via Multi-Agent Reasoning with Evidence Tree, https://arxiv.org/abs/2508.03038
  • Zain Ulabedeen Farhat, Debamita Ghosh, George K. Atia, Yue Wang, 4 Aug 2025, Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties, https://arxiv.org/abs/2508.02948
  • Conor Wallace, Umer Siddique, Yongcan Cao, 4 Aug 2025, TransAM: Transformer-Based Agent Modeling for Multi-Agent Systems via Local Trajectory Encoding, https://arxiv.org/abs/2508.02826
  • Alireza Ghafarollahi and Markus J. Buehler, 4 Aug 2025, Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning, https://arxiv.org/abs/2508.02956
  • Xinlei Yu, Zhangquan Chen, Yudong Zhang, Shilin Lu, Ruolin Shen, Jiangning Zhang, Xiaobin Hu, Yanwei Fu, Shuicheng Yan, 5 Aug 2025, Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling, https://arxiv.org/abs/2508.03404
  • Longling Geng and Edward Y. Chang, 5 Aug 2025, REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks, https://arxiv.org/abs/2502.18836
  • Zhenyu Pan, Yiting Zhang, Yutong Zhang, Jianshu Zhang, Haozheng Luo, Yuwei Han, Dennis Wu, Hong-Yu Chen, Philip S. Yu, Manling Li, Han Liu, 5 Aug 2025, Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety, https://arxiv.org/abs/2508.03864
  • Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato, 6 Aug 2025, LLM Collaboration With Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.04652
  • Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He, 6 Aug 2025, Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration, https://arxiv.org/abs/2508.04575
  • Yuanchen Bai, Zijian Ding, Shaoyue Wen, Xiang Chang, Angelique Taylor, 6 Aug 2025, From MAS to MARS: Coordination Failures and Reasoning Trade-offs in Hierarchical Multi-Agent Robotic Systems within a Healthcare Scenario, https://arxiv.org/abs/2508.04691
  • Ye Han, Lijun Zhang, Dejian Meng, Zhuang Zhang, Xingyu Hu, Songyu Weng, 6 Aug 2025, A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles, https://arxiv.org/abs/2409.13783
  • Yimin Tang, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem B{\i}y{\i}k, Sven Koenig, 6 Aug 2025, RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks, https://arxiv.org/abs/2503.02992
  • Yimin Tang, Zhenghong Yu, Jiaoyang Li, Sven Koenig, 6 Aug 2025, Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds, https://arxiv.org/abs/2503.03779
  • Huiya Zhao, Yinghao Zhu, Zixiang Wang, Yasha Wang, Junyi Gao, Liantao Ma, 6 Aug 2025, ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis, https://arxiv.org/abs/2508.04915
  • Peer-Benedikt Degen and Igor Asanov, 7 Aug 2025, Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures, https://arxiv.org/abs/2508.05116
  • Rong Sha, Binglin Wang, Jun Yang, Xiaoxiao Ma, Chengkun Wu, Liang Yan, Chao Zhou, Jixun Liu, Guochao Wang, Shuhua Yan, Lingxiao Zhu, 7 Aug 2025, LLM-based Multi-Agent Copilot for Quantum Sensor, https://arxiv.org/abs/2508.05421
  • Daniel J. Tan, Qianyi Xu, Kay Choong See, Dilruk Perera, Mengling Feng, 7 Aug 2025, Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework, https://arxiv.org/abs/2409.04224
  • Ming Shen, Raphael Shu, Anurag Pratik, James Gung, Yubin Ge, Monica Sunkara, Yi Zhang, 6 Aug 2025, Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development, https://arxiv.org/abs/2505.16086
  • Kaitao Chen, Mianxin Liu, Daoming Zong, Chaoyue Ding, Shaohao Rui, Yankai Jiang, Mu Zhou, Xiaosong Wang, 8 Aug 2025, Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making, https://arxiv.org/abs/2508.05996
  • Daechul Ahn, San Kim and Jonghyun Choi, 8 Aug 2025, Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning, https://arxiv.org/abs/2508.06042
  • Yiran Rex Ma, 8 Aug 2025, PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion, https://arxiv.org/abs/2508.06110
  • Zhuoran Li, Xun Wang, Hai Zhong, Longbo Huang, 8 Aug 2025, OM2P: Offline Multi-Agent Mean-Flow Policy, https://arxiv.org/abs/2508.06269
  • Alistair Reid, Simon O'Callaghan, Liam Carroll and Tiberio Caetano, 6 Aug 2025, Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems, https://arxiv.org/abs/2508.05687
  • Yan Zhang, 7 Aug 2025, Semantic Reasoning Meets Numerical Precision: An LLM-Powered Multi-Agent System for Power Grid Control, https://arxiv.org/abs/2508.05702
  • George Wang, Jiaqian Hu, Safinah Ali, 8 Aug 2025, MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation, https://arxiv.org/abs/2505.14848
  • Dayu Wang, Jiaye Yang, Weikang Li, Jiahui Liang, Yang Li, 12 Aug 2025, Reducing Cognitive Load in Multi-Agent Reinforcement Learning for Mathematical Problem Solving: Decoupling Reasoning and Code Generation, https://arxiv.org/abs/2508.08882
  • Sizhe Yuen, Francisco Gomez Medina, Ting Su, Yali Du, Adam J. Sobey, 12 Aug 2025, Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory, https://arxiv.org/abs/2508.08997
  • Andres Garcia Rincon and Eliseo Ferrante, 1 Aug 2025, MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural Language, https://arxiv.org/abs/2508.08283
  • Muhammad Haseeb, 9 Aug 2025, Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code, https://arxiv.org/abs/2508.08322
  • Qian Wang, Ziqi Huang, Ruoxi Jia, Paul Debevec, Ning Yu, 11 Aug 2025, MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling, https://arxiv.org/abs/2508.08487
  • Stavros Doropoulos (1), Stavros Vologiannidis (1), Ioannis Magnisalis (2) ((1) Department of Computer, Informatics and Telecommunications Engineering, International Hellenic University, (2) DG Informatics, European Commission, Brussels, Belgium), 12 Aug 2025, DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation, https://arxiv.org/abs/2508.08761
  • Lukas Krupp, Maximilian Sch\"offel, Elias Biehl and Norbert Wehn, 12 Aug 2025, CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems, https://arxiv.org/abs/2508.08709
  • Zhitian Xie, Qintong Wu, Chengyue Yu, Chenyi Zhuang, Jinjie Gu, 13 Aug 2025, AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving, https://arxiv.org/abs/2508.09889
  • Bhavik Agarwal, Hemant Sunil Jomraj, Simone Kaplunov, Jack Krolick, Viktoria Rojkova, 13 Aug 2025, RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA, https://arxiv.org/abs/2508.09893
  • Amine Andam, Jamal Bentahar, Mustapha Hedabou, 12 Aug 2025, Constrained Black-Box Attacks Against Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.09275
  • Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Nils Lukas, Tianwei Zhang, 12 Aug 2025, Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems, https://arxiv.org/abs/2508.09230
  • Gang Chen, Guoxin Wang, Anton van Beek, Zhenjun Ming, Yan Yan, 13 Aug 2025, Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective, https://arxiv.org/abs/2508.09541
  • Wentao Zhang, Liang Zeng, Yuzhen Xiao, Yongcong Li, Ce Cui, Yilei Zhao, Rui Hu, Yang Liu, Yahui Zhou, Bo An, 13 Aug 2025, AgentOrchestra: A Hierarchical Multi-Agent Framework for General-Purpose Task Solving, https://arxiv.org/abs/2506.12508
  • Zhiyao Zhang, Myeung Suk Oh, FNU Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu, 13 Aug 2025, Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2505.18433
  • Jiarong Wei, Niclas V\"odisch, Anna Rehr, Christian Feist, Abhinav Valada, 13 Aug 2025, ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models, https://arxiv.org/abs/2505.00586
  • Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique, 13 Aug 2025, MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs, https://arxiv.org/abs/2506.22557
  • Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi, 14 Aug 2025, From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching, https://arxiv.org/abs/2508.11070
  • Mithat Can Ozgun, Jiahuan Pei, Koen Hindriks, Lucia Donatelli, Qingzhi Liu, Xin Sun, Junxiao Wang, 15 Aug 2025, Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis, https://arxiv.org/abs/2508.11398
  • Xuyang Zhao, Shiwan Zhao, Hualong Yu, Liting Zhang, Qicheng Li, 16 Aug 2025, AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning, https://arxiv.org/abs/2508.11995
  • Zhanjiang Yang, Meng Li, Yang Shen, Yueming Li, Lijun Sun, 16 Aug 2025, MAPF-World: Action World Model for Multi-Agent Path Finding, https://arxiv.org/abs/2508.12087
  • Rongzheng Wang, Qizhi Chen, Yihong Huang, Yizhuo Ma, Muquan Li, Jiakai Li, Ke Qin, Guangchun Luo, Shuang Liang, 17 Aug 2025, GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding, https://arxiv.org/abs/2508.12379
  • Giovanni Briglia, Francesco Fabiano, Stefano Mariani, 18 Aug 2025, Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics, https://arxiv.org/abs/2508.12840
  • Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik, 18 Aug 2025, CAMAR: Continuous Actions Multi-Agent Routing, https://arxiv.org/abs/2508.12845
  • Zhuofan Xu, Benedikt Bollig, Matthias F\"ugger, Thomas Nowak and Vincent Le Dr\'eau, 13 Aug 2025, Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.11706
  • Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang and Qingsong Wen, 15 Aug 2025, SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication, https://arxiv.org/abs/2508.11733
  • Punya Syon Pandey, Yongjin Yang, Jiarui Liu, Zhijing Jin, 16 Aug 2025, CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures, https://arxiv.org/abs/2508.11915
  • Chiranjit Mitra, 17 Aug 2025, Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems, https://arxiv.org/abs/2508.12314
  • Ron Solomon, Yarin Yerushalmi Levi, Lior Vaknin, Eran Aizikovich, Amit Baras, Etai Ohana, Amit Giloni, Shamik Bose, Chiara Picardi, Yuval Elovici, Asaf Shabtai, 17 Aug 2025, LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems, https://arxiv.org/abs/2508.12412
  • David J. Moore, 18 Aug 2025, A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial Applications, https://arxiv.org/abs/2508.12683
  • Yinggan Xu, Hana Kimlee, Yijia Xiao and Di Luo, 18 Aug 2025, Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning, https://arxiv.org/abs/2504.01911
  • Ghasem Pasandi, Kishor Kunal, Varun Tej, Kunjal Shah, Hanfei Sun, Sumit Jain, Chunhui Li, Chenhui Deng, Teodor-Dumitru Ene, Haoxing Ren, and Sreedhar Pratty, 15 Aug 2025, JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation, https://arxiv.org/abs/2505.14978
  • Caleb Rascon, Luis Gato-Diaz, Eduardo Garc\'ia-Alarc\'on, 17 Aug 2025, Multi-agent Auditory Scene Analysis, https://arxiv.org/abs/2507.02755
  • Weizhen Li, Jianbo Lin, Zhuosong Jiang, Jingyi Cao, Xinpeng Liu, Jiayu Zhang, Zhenqiang Huang, Qianben Chen, Weichen Sun, Qiexiang Wang, Hongxuan Lu, Tianrui Qin, Chenghao Zhu, Yi Yao, Shuying Fan, Xiaowan Li, Tiannan Wang, Pai Liu, King Zhu, He Zhu, Dingfeng Shi, Piaohong Wang, Yeyi Guan, Xiangru Tang, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou, 6 Aug 2025, Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL, https://arxiv.org/abs/2508.13167
  • Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le, 19 Aug 2025, CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning, https://arxiv.org/abs/2508.13721
  • Maciej Wojtala, Bogusz Stefa\'nczyk, Dominik Bogucki, {\L}ukasz Lepak, Jakub Strykowski, Pawe{\l} Wawrzy\'nski, 19 Aug 2025, MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.13661
  • Yunxiang Yang, Ningning Xu, Jidong J. Yang, 19 Aug 2025, Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference, https://arxiv.org/abs/2508.13439
  • Abdullah Tokmak, Thomas B. Sch\"on, Dominik Baumann, 19 Aug 2025, Towards safe control parameter tuning in distributed multi-agent systems, https://arxiv.org/abs/2508.13608
  • Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che, 19 Aug 2025, Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning, https://arxiv.org/abs/2504.09772
  • Zhengyang Li, 18 Aug 2025, Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation, https://arxiv.org/abs/2506.04251
  • Peilin Ji, Xiao Xue, Simeng Wang, Wenhao Yan, 20 Aug 2025, Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration, https://arxiv.org/abs/2508.14654
  • Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang (Katie) Zhao, Caiwen Ding, 8 Aug 2025, MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging, https://arxiv.org/abs/2508.14053
  • Moran Sorka, Alon Gorenshtein, Dvir Aran and Shahar Shelly, 10 Aug 2025, A Multi-Agent Approach to Neurological Clinical Reasoning, https://arxiv.org/abs/2508.14063
  • Junjie Qi, Siqi Mao, and Tianyi Tan, 19 Aug 2025, An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents, https://arxiv.org/abs/2508.14131
  • Yibo Liu, Liam Shatzel, Brandon Haworth, Teseo Schneider, 20 Aug 2025, Emergent Crowds Dynamics from Language-Driven Multi-Agent Interactions, https://arxiv.org/abs/2508.15047
  • Zihao Wang, Junming Zhang, 21 Aug 2025, From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence, https://arxiv.org/abs/2508.15447
  • Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci, 21 Aug 2025, Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2508.15652
  • Eric Ye, Ren Tao, Natasha Jaques, 21 Aug 2025, An Efficient Open World Environment for Multi-Agent Social Learning, https://arxiv.org/abs/2508.15679
  • Kiarash Kazari, Ezzeldin Shereen, Gy\"orgy D\'an, 21 Aug 2025, Distributed Detection of Adversarial Attacks in Multi-Agent Reinforcement Learning with Continuous Action Space, https://arxiv.org/abs/2508.15764
  • Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, 14 Aug 2025, Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration, https://arxiv.org/abs/2508.15809
  • Fang Wang, Tianwei Yan, Zonghao Yang, Minghao Hu, Jun Zhang, Zhunchen Luo, Xiaoying Bai, 21 Aug 2025, DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking, https://arxiv.org/abs/2508.15876
  • Ahmed Allam, Youssef Mansour, and Mohamed Shalan, 21 Aug 2025, ASIC-Agent: An Autonomous Multi-Agent System for ASIC Design with Benchmark Evaluation, https://arxiv.org/abs/2508.15940
  • Talha Bozkus, Urbashi Mitra, 21 Aug 2025, Partially Decentralized Multi-Agent Q-Learning via Digital Cousins for Wireless Networks, https://arxiv.org/abs/2503.05970
  • Shuhao Liao, Weihang Xia, Yuhong Cao, Weiheng Dai, Chengyang He, Wenjun Wu, Guillaume Sartoretti, 22 Aug 2025, SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding, https://arxiv.org/abs/2502.06440
  • Zhilin Zhang, Xiang Zhang, Jiaqi Wei, Yiwei Xu, Chenyu You, 24 Aug 2025, PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs, https://arxiv.org/abs/2508.17188
  • Feng Tian, Flora D. Salim, Hao Xue, 25 Aug 2025, TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis, https://arxiv.org/abs/2508.17565
  • Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu, 25 Aug 2025, Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding, https://arxiv.org/abs/2508.17971
  • Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper, 20 Aug 2025, Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design, https://arxiv.org/abs/2508.16659
  • Yunxiang Yang, Ningning Xu, Jidong J. Yang, 24 Aug 2025, Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding, https://arxiv.org/abs/2508.17205
  • Xiangxiang Wang, Xuanyu Wang, YiJia Luo, Yongbin Yu, Manping Fan, Jingtao Zhang, Liyong Ren, 25 Aug 2025, Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired Assistance, https://arxiv.org/abs/2508.18177
  • George Stamatelis, Angelos-Nikolaos Kanatas, Ioannis Asprogerakas, and George C. Alexandropoulos, 25 Aug 2025, Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases, https://arxiv.org/abs/2403.10112
  • Karishma Thakrar, Shreyas Basavatia, Akshay Daftardar, 25 Aug 2025, Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQA, https://arxiv.org/abs/2507.05520
  • Harsh Singh, Rocktim Jyoti Das, Mingfei Han, Preslav Nakov, Ivan Laptev, 25 Aug 2025, MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation, https://arxiv.org/abs/2411.17636
  • Xiao Wang, Lu Dong, Sahana Rangasrinivasan, Ifeoma Nwogu, Srirangaraj Setlur, Venugopal Govindaraju, 24 Aug 2025, AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot, https://arxiv.org/abs/2503.06791
  • Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Ashish Kundu, Jayanth Srinivasa, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding, 24 Aug 2025, An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems, https://arxiv.org/abs/2505.18397
  • Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang, 30 Jul 2025, Towards Simulating Social Influence Dynamics with LLM-based Multi-agents, https://arxiv.org/abs/2507.22467
  • Zhongjian Hu, Peng Yang, Bing Li, Zhenqi Wang, 7 Aug 2025, Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering, https://arxiv.org/abs/2412.18351
  • Zuhong Lin, Daoyuan Ren, Kai Ran, Jing Sun, Songlin Yu, Xuefeng Bai, Xiaotian Huang, Haiyang He, Pengxu Pan, Ying Fang, Zhanglin Li, Haipu Li, Jingjing Yao, 8 Aug 2025, Reshaping MOFs text mining with a dynamic multi-agents framework of large language model, https://arxiv.org/abs/2504.18880
  • Tianjiao Zhao, Jingrao Lyu, Stokes Jones, Harrison Garber, Stefano Pasquali, Dhagash Mehta, 15 Aug 2025, AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions, https://arxiv.org/abs/2508.11152
  • Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel, 23 Aug 2025, X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents, https://arxiv.org/abs/2504.13203

Agentic Workflow

Agentic Architectures

  • Arun Shankar, Oct 2024, Designing Cognitive Architectures: Agentic Workflow Patterns from Scratch, https://medium.com/google-cloud/designing-cognitive-architectures-agentic-workflow-patterns-from-scratch-63baa74c54bc
  • Anita Kirkovska, David Vargas, Jul 11, 2024, Agentic Workflows in 2024: The ultimate guide, https://www.vellum.ai/blog/agentic-workflows-emerging-architectures-and-design-patterns
  • Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, 10 Oct 2024, Benchmarking Agentic Workflow Generation, https://arxiv.org/abs/2410.07869
  • A. Singh, A. Ehtesham, S. Kumar and T. T. Khoei, "Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model," 2024 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2024, pp. 527-532, doi: 10.1109/AIIoT61789.2024.10578990. https://ieeexplore.ieee.org/abstract/document/10578990
  • Chawla, Chhavi; Chatterjee, Siddharth; Gadadinni, Sanketh Siddanna; Verma, Pulkit; Banerjee, Sourav, 2024, Agentic AI: The building blocks of sophisticated AI business applications, Journal of AI, Robotics & Workplace Automation, Volume 3 / Number 3 / Summer 2024, pp. 1-15(15), Henry Stewart Publications, DOI: https://doi.org/10.69554/XEHZ1946 https://www.ingentaconnect.com/content/hsp/airwa/2024/00000003/00000003/art00001
  • Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu, 14 Oct 2024, AFlow: Automating Agentic Workflow Generation, https://arxiv.org/abs/2410.10762 https://github.com/geekan/MetaGPT
  • Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li, 21 Jun 2024, FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents, https://arxiv.org/abs/2406.14884
  • Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie, Daoyuan Chen, Liuyi Yao, Hongyi Peng, Zeyu Zhang, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou, 20 May 2024 (v2), AgentScope: A Flexible yet Robust Multi-Agent Platform, https://arxiv.org/abs/2402.14034 https://github.com/modelscope/agentscope
  • Bryson Masse, October 31, 2024, Microsoft’s agentic AI tool OmniParser rockets up the open source charts, https://venturebeat.com/ai/microsofts-agentic-ai-tool-omniparser-rockets-up-the-open-source-charts/
  • Eric Broda, Nov 2024, Agentic Mesh: The Future of Generative AI-Enabled Autonomous Agent Ecosystems https://towardsdatascience.com/agentic-mesh-the-future-of-generative-ai-enabled-autonomous-agent-ecosystems-d6a11381c979
  • Mohammed Lubbad, Oct 11, 2024, Top 4 Agentic AI Architecture Design Patterns, https://mlubbad.medium.com/top-4-agentic-ai-architecture-design-patterns-2ad890a543e8
  • Shirin Ghaffary and Rachel Metz November 14, 2024, OpenAI Nears Launch of AI Agent Tool to Automate Tasks for Users. The new software, codenamed “Operator,” is set to be released in January. https://www.bloomberg.com/news/articles/2024-11-13/openai-nears-launch-of-ai-agents-to-automate-tasks-for-users
  • Shubham Sharma. November 12, 2024, How agentic RAG can be a game-changer for data processing and retrieval, https://venturebeat.com/ai/how-agentic-rag-can-be-a-game-changer-for-data-processing-and-retrieval/
  • Mike Elgan, 22 Nov 2024, AI agents are unlike any technology ever, https://www.computerworld.com/article/3608973/ai-agents-are-unlike-any-technology-ever.html
  • Chris Sypherd, Vaishak Belle, 5 Dec 2024, Practical Considerations for Agentic LLM Systems, https://arxiv.org/abs/2412.04093
  • Benj Edwards, 12 Dec 2024, Google goes “agentic” with Gemini 2.0’s ambitious AI agent features. Google barrels ahead with a push into AI systems that take action for you. https://arstechnica.com/information-technology/2024/12/google-goes-agentic-with-gemini-2-0s-ambitious-ai-agent-features/
  • Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang, 13 Dec 2024, Large Action Models: From Inception to Implementation, https://arxiv.org/abs/2412.10047 https://github.com/microsoft/UFO/tree/main/dataflow https://microsoft.github.io/UFO/dataflow/overview/
  • Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic, Sep 2024, Agents, Google Whitepaper, https://www.kaggle.com/whitepaper-agents
  • Michael Nuñez, May 19, 2025, Microsoft announces over 50 AI tools to build the ‘agentic web’ at Build 2025, https://venturebeat.com/ai/microsoft-announces-over-50-ai-tools-to-build-the-agentic-web-at-build-2025/
  • Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee, 20 May 2025 (v3), AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges, https://arxiv.org/abs/2505.10468
  • Carl Franzen, May 21, 2025, OpenAI updates its new Responses API rapidly with MCP support, GPT-4o native image gen, and more enterprise features, https://venturebeat.com/programming-development/openai-updates-its-new-responses-api-rapidly-with-mcp-support-gpt-4o-native-image-gen-and-more-enterprise-features/
  • Cameron R. Wolfe, Ph.D., Jun 09, 2025, AI Agents from First Principles: Understanding AI agents by building upon the most basic concepts of LLMs, https://cameronrwolfe.substack.com/p/ai-agents
  • Maximilian Schreiner, Jun 26, 2025, Anthropics Claude can now build AI apps, https://the-decoder.com/anthropics-claude-can-now-build-ai-apps/
  • Hana Derouiche, Zaki Brahmi, Haithem Mazeni, 13 Aug 2025, Agentic AI Frameworks: Architectures, Protocols, and Design Challenges, https://arxiv.org/abs/2508.10146
  • Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu, 14 Aug 2025, PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning, https://arxiv.org/abs/2508.10501
  • Sayan Nag, K J Joseph, Koustava Goswami, Vlad I Morariu, Balaji Vasan Srinivasan, 14 Aug 2025, Agentic Design Review System, https://arxiv.org/abs/2508.10745
  • Pallavi Zambare, Venkata Nikhil Thanikella, Ying Liu, 12 Aug 2025, Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System, https://arxiv.org/abs/2508.10043
  • Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu, 12 Aug 2025, NetMoniAI: An Agentic AI Framework for Network Security & Monitoring, https://arxiv.org/abs/2508.10052
  • Sahar Salimpour, Lei Fu, Farhad Keramat, Leonardo Militano, Giovanni Toffetti, Harry Edelman, Jorge Pe\~na Queralta, 14 Aug 2025, Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction, https://arxiv.org/abs/2508.05294
  • Jingwei Liu, Ling Yang, Hao Luo, Fan Wang, Hongyan Li, Mengdi Wang, 14 Aug 2025, Preacher: Paper-to-Video Agentic System, https://arxiv.org/abs/2508.09632
  • Elija Perrier, Michael Timothy Bennett, 23 Jul 2025, Agent Identity Evals: Measuring Agentic Identity, https://arxiv.org/abs/2507.17257
  • Shitong Zhu, Chenhao Fang, Derek Larson, Neel Reddy Pochareddy, Rajeev Rao, Sophie Zeng, Yanqing Peng, Wendy Summer, Alex Goncalves, Arya Pudota, Herve Robert, 23 Jul 2025, Compliance Brain Assistant: Conversational Agentic AI for Assisting Compliance Tasks in Enterprise Environments, https://arxiv.org/abs/2507.17289
  • Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu, 23 Jul 2025, Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding, https://arxiv.org/abs/2505.18079
  • Joydeep Chandra, Satyam Kumar Navneet, 21 Jul 2025, Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation, https://arxiv.org/abs/2507.15901
  • Jean Lelong, Adnane Errazine and Annabelle Blangero, 22 Jul 2025, Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications, https://arxiv.org/abs/2507.16507
  • Yilong Xu, Xiang Long, Zhi Zheng, Jinhua Gao, 22 Jul 2025, RAVine: Reality-Aligned Evaluation for Agentic Search, https://arxiv.org/abs/2507.16725
  • Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen, 22 Jul 2025, R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory, https://arxiv.org/abs/2501.12485
  • Xiangru Tang, Tianrui Qin, Tianhao Peng, Ziyang Zhou, Daniel Shao, Tingting Du, Xinming Wei, Peng Xia, Fang Wu, He Zhu, Ge Zhang, Jiaheng Liu, Xingyao Wang, Sirui Hong, Chenglin Wu, Hao Cheng, Chi Wang, Wangchunshu Zhou, 21 Jul 2025, Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving, https://arxiv.org/abs/2507.06229
  • Gheorghe Comanici, Eric Bieber, Mike Schaekermann, Ice Pasupat, Noveen Sachdeva, Inderjit Dhillon, Marcel Blistein, Ori Ram, Dan Zhang, Evan Rosen, Luke Marris, Sam Petulla, Colin Gaffney, Asaf Aharoni, Nathan Lintz, Tiago Cardal Pais, Henrik Jacobsson, Idan Szpektor, Nan-Jiang Jiang, Krishna Haridasan, Ahmed Omran, Nikunj Saunshi, Dara Bahri, Gaurav Mishra, Eric Chu, Toby Boyd, Brad Hekman, Aaron Parisi, Chaoyi Zhang, Kornraphop Kawintiranon, Tania Bedrax-Weiss, Oliver Wang, Ya Xu, Ollie Purkiss, Uri Mendlovic, Ila\"i Deutel, Nam Nguyen, Adam Langley, Flip Korn, Lucia Rossazza, Alexandre Ram\'e, Sagar Waghmare, Helen Miller, Nathan Byrd, Ashrith Sheshan, Raia Hadsell Sangnie Bhardwaj, Pawel Janus, Tero Rissa, Dan Horgan, Sharon Silver, Ayzaan Wahid, Sergey Brin, Yves Raimond, Klemen Kloboves, et al. (3255 additional authors not shown), 22 Jul 2025, Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities, https://arxiv.org/abs/2507.06261
  • Soorya Ram Shimgekar, Shayan Vassef, Abhay Goyal, Navin Kumar, Koustuv Saha, 24 Jul 2025, Agentic AI framework for End-to-End Medical Data Inference, https://arxiv.org/abs/2507.18115
  • Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko, 17 Jul 2025, LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data, https://arxiv.org/abs/2507.13413
  • Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski and Marcel Hallgarten, 18 Jul 2025, AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework, https://arxiv.org/abs/2507.13729
  • Xiaowen Ma, Chenyang Lin, Yao Zhang, Volker Tresp, Yunpu Ma, 18 Jul 2025, Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation, https://arxiv.org/abs/2506.09046
  • Ziqi Wang, Hongshuo Huang, Hancheng Zhao, Changwen Xu, Shang Zhu, Jan Janssen, Venkatasubramanian Viswanathan, 18 Jul 2025, DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation, https://arxiv.org/abs/2507.14267
  • Yanjie Fu, 19 Jul 2025, Towards AI Urban Planner in the Age of GenAI, LLMs, and Agentic AI, https://arxiv.org/abs/2507.14730
  • Jiale Liu, Huan Wang, Yue Zhang, Xiaoyu Luo, Jiaxiang Hu, Zhiliang Liu, Min Xie, 20 Jul 2025, InsightX Agent: An LMM-based Agentic Framework with Integrated Tools for Reliable X-ray NDT Analysis, https://arxiv.org/abs/2507.14899
  • Ruhul Amin Khalil, Kashif Ahmad, and Hazrat Ali, 20 Jul 2025, Redefining Elderly Care with Agentic AI: Challenges and Opportunities, https://arxiv.org/abs/2507.14912
  • Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, 21 Jul 2025, QSAF: A Novel Mitigation Framework for Cognitive Degradation in Agentic AI, https://arxiv.org/abs/2507.15330
  • Reza Vatankhah Barenji and Sina Khoshgoftar, 21 Jul 2025, Agentic AI for autonomous anomaly management in complex systems, https://arxiv.org/abs/2507.15676
  • Xiaozheng Gao, Yichen Wang, Bosen Liu, Xiao Zhou, Ruichen Zhang, Jiacheng Wang, Dusit Niyato, Dong In Kim, Abbas Jamalipour, Chau Yuen, Jianping An, and Kai Yang, 19 Jul 2025, Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches, https://arxiv.org/abs/2507.14633
  • Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee, Nikolaos D. Tselikas, 18 Jul 2025, Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning, https://arxiv.org/abs/2507.10571
  • Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong, 19 Jul 2025, APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay, https://arxiv.org/abs/2504.03601
  • Tengchao Zhang, Yonglin Tian, Fei Lin, Jun Huang, Patrik P. S\"uli, Qinghua Ni, Rui Qin, Xiao Wang and Fei-Yue Wang, 21 Jul 2025, CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios, https://arxiv.org/abs/2505.00091
  • Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng, 10 Aug 2025, A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems, https://arxiv.org/abs/2508.07407
  • Dom Huh, Prasant Mohapatra, 10 Aug 2025, Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs, https://arxiv.org/abs/2508.07466
  • Stefan Szeider, 10 Aug 2025, CP-Agent: Agentic Constraint Programming, https://arxiv.org/abs/2508.07468
  • Mohammed-Khalil Ghali, Cecil Pang, Oscar Molina, Carlos Gershenson-Garcia, Daehan Won, 24 Jul 2025, Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News, https://arxiv.org/abs/2508.06497
  • Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu, 11 Aug 2025, Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL, https://arxiv.org/abs/2508.07976
  • Nell Watson, Ahmed Amer, Evan Harris, Preeti Ravindra, Shujun Zhang, 8 Aug 2025, Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values, https://arxiv.org/abs/2506.13774
  • Eleftherios Tzanis and Michail E. Klontzas, 11 Aug 2025, mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging, https://arxiv.org/abs/2505.03785
  • Qihui Fan, Wenbo Li, Enfu Nan, Yixiao Chen, Lei Lu, Pu Zhao, Yanzhi Wang, 10 Aug 2025, Verbal Werewolf: Engage Users with Verbalized Agentic Werewolf Game Framework, https://arxiv.org/abs/2506.00160
  • Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveen Kanumala, Jason Cho, Sushant Kumar, 11 Aug 2025, ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation, https://arxiv.org/abs/2506.21931
  • Minghao Guo, Xi Zhu, Jingyuan Huang, Kai Mei, Yongfeng Zhang, 11 Aug 2025, ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network, https://arxiv.org/abs/2508.00429
  • Zain Asgar, Michelle Nguyen, Sachin Katti, 25 Jul 2025, Efficient and Scalable Agentic AI with Heterogeneous Systems, https://arxiv.org/abs/2507.19635
  • Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou, 26 Jul 2025, Agentic Reinforced Policy Optimization, https://arxiv.org/abs/2507.19849
  • Kimi Team: Yifan Bai, Yiping Bao, Guanduo Chen, Jiahao Chen, Ningxin Chen, Ruijue Chen, Yanru Chen, Yuankun Chen, Yutian Chen, Zhuofu Chen, Jialei Cui, Hao Ding, Mengnan Dong, Angang Du, Chenzhuang Du, Dikang Du, Yulun Du, Yu Fan, Yichen Feng, Kelin Fu, Bofei Gao, Hongcheng Gao, Peizhong Gao, Tong Gao, Xinran Gu, Longyu Guan, Haiqing Guo, Jianhang Guo, Hao Hu, Xiaoru Hao, Tianhong He, Weiran He, Wenyang He, Chao Hong, Yangyang Hu, Zhenxing Hu, Weixiao Huang, Zhiqi Huang, Zihao Huang, Tao Jiang, Zhejun Jiang, Xinyi Jin, Yongsheng Kang, Guokun Lai, Cheng Li, Fang Li, Haoyang Li, Ming Li, Wentao Li, Yanhao Li, Yiwei Li, Zhaowei Li, Zheming Li, Hongzhan Lin, Xiaohan Lin, Zongyu Lin, Chengyin Liu, Chenyu Liu, Hongzhang Liu, Jingyuan Liu, Junqi Liu, Liang Liu, Shaowei Liu, T.Y. Liu, Tianwei Liu, et al. (103 additional authors not shown), 28 Jul 2025, Kimi K2: Open Agentic Intelligence, https://arxiv.org/abs/2507.20534
  • Antonino Castelli, Paolo Giudici, Alessandro Piergallini, 11 Jul 2025, Building crypto portfolios with agentic AI, https://arxiv.org/abs/2507.20468
  • Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong, 28 Jul 2025, LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary Multitasking, https://arxiv.org/abs/2406.14917

Agent Frameworks and Platforms

Agent frameworks, or agent platforms, are overall LLM infrastructure to create and run LLM agents. Various commercial and open-source agent platforms have gained prominence, and there is much more to come in this space.

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