Aussie AI

Hallucinations

Last Updated 30 August, 2025

by David Spuler, Ph.D.

Research on Hallucinations

Research papers include:

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang, May 03 2024, Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies, https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00660/120911
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang, June 2023, Exposing Attention Glitches with Flip-Flop Language Modeling, https://arxiv.org/abs/2306.00946
Lucas Mearian, 14 Mar 2024, AI hallucination mitigation: two brains are better than one, https://www.computerworld.com/article/1612465/ai-hallucination-mitigation-two-brains-are-better-than-one.html
Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer, 15 Mar 2024 (v5), LLM Inference Unveiled: Survey and Roofline Model Insights, https://arxiv.org/abs/2402.16363 Code: https://github.com/hahnyuan/LLM-Viewer (A large survey of a variety of LLM optimizations.)
Bijit Ghosh Feb 2024, Advanced Prompt Engineering for Reducing Hallucination, https://medium.com/@bijit211987/advanced-prompt-engineering-for-reducing-hallucination-bb2c8ce62fc6
Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen, 6 Jan 2024, The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models, https://arxiv.org/abs/2401.03205 Code: https://github.com/RUCAIBox/HaluEval-2.0
Colin Fraser, Apr 18, 2024, Hallucinations, Errors, and Dreams On why modern AI systems produce false outputs and what there is to be done about it, https://medium.com/@colin.fraser/hallucinations-errors-and-dreams-c281a66f3c35
Johnny Li, Saksham Consul, Eda Zhou, James Wong, Naila Farooqui, Yuxin Ye, Nithyashree Manohar, Zhuxiaona Wei, Tian Wu, Ben Echols, Sharon Zhou, Gregory Diamos, 25 Jun 2024, Banishing LLM Hallucinations Requires Rethinking Generalization, https://arxiv.org/abs/2406.17642
Pavan Belagatti, Jul 31, 2024, Semantic Chunking for Enhanced RAG Applications! https://levelup.gitconnected.com/semantic-chunking-for-enhanced-rag-applications-b6bc92942af0
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li, July 2024, C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models, Proceedings of the 41st International Conference on Machine Learning, PMLR 235:22963-23000, 2024, https://proceedings.mlr.press/v235/kang24a.html
Mengya Hu, Rui Xu, Deren Lei, Yaxi Li, Mingyu Wang, Emily Ching, Eslam Kamal, Alex Deng, 22 Aug 2024, SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection, https://arxiv.org/abs/2408.12748
Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Zhang, Xianbin Wang, Jiangchuan Liu, 17 May 2024, Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities, https://arxiv.org/abs/2405.10825
C Yang, S Fujita, 2024, Adaptive Control of Retrieval-Augmented Generation for LLMs Through Reflective Tags, https://www.preprints.org/manuscript/202408.2152/download/final_file
Michael Wood, Aug 26, 2024, 100% Accurate AI Claimed by Acurai — OpenAI and Anthropic Confirm Acurai’s Discoveries, https://blog.cubed.run/100-accurate-ai-claimed-by-acurai-openai-and-anthropic-confirm-acurais-discoveries-98fce1ddeb5b
James Lee Stakelum, Sep 2024, The End of AI Hallucinations: A Big Breakthrough in Accuracy for AI Application Developers, https://medium.com/@JamesStakelum/the-end-of-ai-hallucinations-a-breakthrough-in-accuracy-for-data-engineers-e67be5cc742a
F. Li, X. zhang and P. Zhang, 2024, Mitigating Hallucination Issues in Small-Parameter LLMs through Inter-Layer Contrastive Decoding, 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650644, https://ieeexplore.ieee.org/abstract/document/10650644
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, 15 Oct 2024, LargePiG: Your Large Language Model is Secretly a Pointer Generator, https://arxiv.org/abs/2410.11366
Garanc Burke, Hilke Schellmann, October 27, 2024, Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said, https://apnews.com/article/ai-artificial-intelligence-health-business-90020cdf5fa16c79ca2e5b6c4c9bbb14
Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov, 29 Oct 2024, Distinguishing Ignorance from Error in LLM Hallucinations, https://arxiv.org/abs/2410.22071 https://github.com/technion-cs-nlp/hallucination-mitigation
Salvatore Raieli, Nov 2024, What Is The Best Therapy For a Hallucinating AI Patient? Exploring the Art and Science of Prompt Engineering to Cure LLM Hallucinations, https://levelup.gitconnected.com/what-is-the-best-therapy-for-a-hallucinating-ai-patient-acf0cb9b3e00
Vitaly Kukharenko, Nov 2024, Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)? https://pub.towardsai.net/why-do-neural-networks-hallucinate-and-what-are-experts-doing-about-it-7b9342605bf7
Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou, 9 Dec 2024, From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding, https://arxiv.org/abs/2412.06474
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri, 10 Dec 2024, Granite Guardian, https://arxiv.org/abs/2412.07724 https://github.com/ibm-granite/granite-guardian (Open-sourcing of safety models with many capabilities.)
Lilian Weng, July 7, 2024, Extrinsic Hallucinations in LLMs, https://lilianweng.github.io/posts/2024-07-07-hallucination/
Rhiannon Williams, December 31, 2024, The biggest AI flops of 2024: From chatbots dishing out illegal advice to dodgy AI-generated search results, take a look back over the year’s top AI failures. https://www.technologyreview.com/2024/12/31/1109612/biggest-worst-ai-artificial-intelligence-flops-fails-2024/
Kazi Hasan Ibn Arif, Sajib Acharjee Dip, Khizar Hussain, Lang Zhang, Chris Thomas, 21 Jan 2025, Fixing Imbalanced Attention to Mitigate In-Context Hallucination of Large Vision-Language Model, https://arxiv.org/abs/2501.12206
Huan Ma, Jingdong Chen, Guangyu Wang, Changqing Zhang, 1 Feb 2025, Estimating LLM Uncertainty with Logits, https://arxiv.org/abs/2502.00290
Ningke Li, Yahui Song, Kailong Wang, Yuekang Li, Ling Shi, Yi Liu, Haoyu Wang, 19 Feb 2025, Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning, https://arxiv.org/abs/2502.13416
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li, 1 Mar 2025, How to Steer LLM Latents for Hallucination Detection? https://arxiv.org/abs/2503.01917
Sean Michael Kerner, May 13, 2025, Guardian agents: New approach could reduce AI hallucinations to below 1%, https://venturebeat.com/ai/beyond-detection-why-automatically-correcting-hallucinations-could-transform-enterprise-ai-adoption/
Lei Wang, 12 May 2025, SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion, https://arxiv.org/abs/2505.07528
Manuel Cossio, 3 Aug 2025, A comprehensive taxonomy of hallucinations in Large Language Models, https://arxiv.org/abs/2508.01781
Igor Halperin, 13 Aug 2025, Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models, https://arxiv.org/abs/2508.10192
Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz, 13 Aug 2025, The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs, https://arxiv.org/abs/2508.08285
Xi Long, Christy Boscardin, Lauren A. Maggio, Joseph A. Costello, Ralph Gonzales, Rasmyah Hammoudeh, Ki Lai, Yoon Soo Park, Brian C. Gin, 14 Aug 2025, Hallucination vs interpretation: rethinking accuracy and precision in AI-assisted data extraction for knowledge synthesis, https://arxiv.org/abs/2508.09458
Siyuan Liu, Wenjing Liu, Zhiwei Xu, Xin Wang, Bo Chen, Tao Li, 21 Jul 2025, Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor, https://arxiv.org/abs/2507.15903
Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan, 22 Jul 2025, ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs, https://arxiv.org/abs/2507.16488
Xin Dong, Shichao Dong, Jin Wang, Jing Huang, Li Zhou, Zenghui Sun, Lihua Jing, Jingsong Lan, Xiaoyong Zhu, Bo Zheng, 22 Jul 2025, INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling, https://arxiv.org/abs/2507.05056
Seunghoi Kim and Henry F. J. Tregidgo and Matteo Figini and Chen Jin and Sarang Joshi and Daniel C. Alexander, 24 Jul 2025, Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS, https://arxiv.org/abs/2503.01075
Weihua Zheng, Roy Ka-Wei Lee, Zhengyuan Liu, Kui Wu, AiTi Aw, Bowei Zou, 17 Jul 2025, CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation, https://arxiv.org/abs/2507.14239
Jingwei Huang, Kuroush Nezafati, Ismael Villanueva-Miranda, Zifan Gu, Yueshuang Xu, Ann Marie Navar, Tingyi Wanyan, Qin Zhou, Bo Yao, Ruichen Rong, Xiaowei Zhan, Guanghua Xiao, Eric D. Peterson, Donghan M. Yang, Wenqi Shi, Yang Xie, 18 Jul 2025, Large Language Models Powered Multiagent Ensemble for Mitigating Hallucination and Efficient Atrial Fibrillation Annotation of ECG Reports, https://arxiv.org/abs/2410.16543
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
Quan Shi, Wang Xi, Zenghui Ding, Jianqing Gao, Xianjun Yang, 10 Aug 2025, Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape, https://arxiv.org/abs/2508.07334
Ming-Kun Xie, Jia-Hao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, and Masashi Sugiyama, 3 Aug 2025, What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?, https://arxiv.org/abs/2508.06530
Jakob Snel and Seong Joon Oh, 28 Jul 2025, First Hallucination Tokens Are Different from Conditional Ones, https://arxiv.org/abs/2507.20836
Shengyuan Wang, Jie Feng, Tianhui Liu, Dan Pei, Yong Li, 25 Jul 2025, Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning, https://arxiv.org/abs/2507.19586
Baiyu Chen, Wilson Wongso, Xiaoqian Hu, Yue Tan, Flora Salim, 27 Jul 2025, Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG, https://arxiv.org/abs/2507.20136
Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo, 28 Jul 2025, Enhancing Hallucination Detection via Future Context, https://arxiv.org/abs/2507.20546
Esmail Gumaan, 20 Jul 2025, Theoretical Foundations and Mitigation of Hallucination in Large Language Models, https://arxiv.org/abs/2507.22915
Praveenkumar Katwe, Rakesh Chandra, Balabantaray Kali, Prasad Vittala, 30 Jul 2025, Reducing Hallucinations in Summarization via Reinforcement Learning with Entity Hallucination Index, https://arxiv.org/abs/2507.22744
Vijja Wichitwechkarn, Charles Fox, Ruchi Choudhary, 23 Jul 2025, Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models, https://arxiv.org/abs/2508.00881
Xiaoyu Pan, Yang Bai, Ke Zou, Yang Zhou, Jun Zhou, Huazhu Fu, Yih-Chung Tham, Yong Liu, 24 Jul 2025, EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow, https://arxiv.org/abs/2507.22929
Zhaochen Wang, Yiwei Wang, Yujun Cai, 3 Aug 2025, Cure or Poison? Embedding Instructions Visually Alters Hallucination in Vision-Language Models, https://arxiv.org/abs/2508.01678
Yijun Feng, 3 Aug 2025, Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models, https://arxiv.org/abs/2508.01862
Zhaoyi Sun, Wen-Wai Yim, Ozlem Uzuner, Fei Xia, Meliha Yetisgen, 1 Aug 2025, A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination, https://arxiv.org/abs/2505.00008
Junyoung Lim, Jaewoo Ahn, Gunhee Kim, 5 Aug 2025, ChartCap: Mitigating Hallucination of Dense Chart Captioning, https://arxiv.org/abs/2508.03164
Subhey Sadi Rahman, Md. Adnanul Islam, Md. Mahbub Alam, Musarrat Zeba, Md. Abdur Rahman, Sadia Sultana Chowa, Mohaimenul Azam Khan Raiaan, Sami Azam, 5 Aug 2025, Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models, https://arxiv.org/abs/2508.03860
Shunqi Mao, Chaoyi Zhang, Weidong Cai, 6 Aug 2025, Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding, https://arxiv.org/abs/2503.10183
Micha{\l} P. Karpowicz, 6 Aug 2025, On the Fundamental Impossibility of Hallucination Control in Large Language Models, https://arxiv.org/abs/2506.06382
Huaicheng Zhang, Wei Tan, Guangzheng Li, Yixuan Zhang, Hangting Chen, Shun Lei, Chenyu Yang, Zhiyong Wu, Shuai Wang, Qijun Huang, Dong Yu, 7 Aug 2025, Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation, https://arxiv.org/abs/2508.05011
Kim Hammar and Tansu Alpcan and Emil C. Lupu, 7 Aug 2025, Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination, https://arxiv.org/abs/2508.05188
Marc Pavel, Nenad Petrovic, Lukasz Mazur, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll, 15 Aug 2025, Hallucination in LLM-Based Code Generation: An Automotive Case Study, https://arxiv.org/abs/2508.11257
Nanxing Hu, Xiaoyue Duan, Jinchao Zhang, Guoliang Kang, 19 Aug 2025, Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models, https://arxiv.org/abs/2505.19498
Huan Ma, Jiadong Pan, Jing Liu, Yan Chen, Joey Tianyi Zhou, Guangyu Wang, Qinghua Hu, Hua Wu, Changqing Zhang, Haifeng Wang, 20 Aug 2025, Semantic Energy: Detecting LLM Hallucination Beyond Entropy, https://arxiv.org/abs/2508.14496
Aman Goel, Daniel Schwartz, Yanjun Qi, 19 Aug 2025, Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency, https://arxiv.org/abs/2508.14314
Yupei Yang, Fan Feng, Lin Yang, Wanxi Deng, Lin Qu, Biwei Huang, Shikui Tu, Lei Xu, 20 Aug 2025, DEPTH: Hallucination-Free Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement, https://arxiv.org/abs/2508.14391
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso, 22 Aug 2025, QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting, https://arxiv.org/abs/2508.16697
Nicolas Zucchet, J\"org Bornschein, Stephanie Chan, Andrew Lampinen, Razvan Pascanu, Soham De, 24 Jul 2025, How do language models learn facts? Dynamics, curricula and hallucinations, https://arxiv.org/abs/2503.21676
Anindya Bijoy Das, Shahnewaz Karim Sakib and Shibbir Ahmed, 9 Aug 2025, Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities, https://arxiv.org/abs/2508.07031
Charles O'Neill, Slava Chalnev, Chi Chi Zhao, Max Kirkby, Mudith Jayasekara, 31 Jul 2025, A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations, https://arxiv.org/abs/2507.23221
Zhangcheng Qiang, Kerry Taylor, Weiqing Wang, Jing Jiang, 25 Mar 2025, OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching, https://arxiv.org/abs/2503.21813
Yudong Zhang, Ruobing Xie, Xingwu Sun, Yiqing Huang, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang, 31 Jul 2025, DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models, https://arxiv.org/abs/2411.18659
Haonan Ge, Yiwei Wang, Ming-Hsuan Yang, Yujun Cai, 14 Aug 2025, MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs, https://arxiv.org/abs/2508.10264
Likun Tan, Kuan-Wei Huang, Kevin Wu, 28 Jul 2025, FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models, https://arxiv.org/abs/2507.20930
Neil F. Johnson and Frank Yingjie Huo, 1 Aug 2025, Multispin Physics of AI Tipping Points and Hallucinations, https://arxiv.org/abs/2508.01097
Chenxi Li, Yichen Guo, Benfang Qian, Jinhao You, Kai Tang, Yaosong Du, Zonghao Zhang, and Xiande Huang, 3 Aug 2025, MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing, https://arxiv.org/abs/2508.01653
Peizheng Guo, Jingyao Wang, Wenwen Qiang, Huijie Guo, Changwen Zheng, Jiahuan Zhou, Gang Hua, 6 Aug 2025, Hacking Hallucinations of MLLMs with Causal Sufficiency and Necessity, https://arxiv.org/abs/2508.04182
Mengao Zhang, Jiayu Fu, Tanya Warrier, Yuwen Wang, Tianhui Tan, Ke-wei Huang, 7 Aug 2025, FAITH: A Framework for Assessing Intrinsic Tabular Hallucinations in finance, https://arxiv.org/abs/2508.05201
Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry, 7 Aug 2025, MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models, https://arxiv.org/abs/2409.19492
Chunhua Liu, Hong Yi Lin and Patanamon Thongtanunam, 12 Aug 2025, Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics, https://arxiv.org/abs/2508.08661
Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar, Nishit Anand, Sonal Kumar, Sreyan Ghosh, Ramani Duraiswami, Chirag Agarwal, Dinesh Manocha, 18 Aug 2025, EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding, https://arxiv.org/abs/2508.12687
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao, 17 Aug 2025, Mitigating Hallucinations in Large Language Models via Causal Reasoning, https://arxiv.org/abs/2508.12495
Wenhao Li, Xiu Su, Jingyi Wu, Feng Yang, Yang Liu, Yi Chen, Shan You, Chang Xu, 19 Aug 2025, Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation, https://arxiv.org/abs/2507.04680
Anindya Bijoy Das, Shibbir Ahmed and Shahnewaz Karim Sakib, 19 Aug 2025, Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models, https://arxiv.org/abs/2504.19061
Chenlin Liu, Minghui Fang, Patrick Zhang, Wei Zhou, Jie Gao, Jiqing Han, 21 Aug 2025, Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets, https://arxiv.org/abs/2508.15442
Reilly Haskins and Benjamin Adams, 21 Aug 2025, KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis, https://arxiv.org/abs/2507.03847
Shuzhou Yuan, Zhan Qu, Ashish Yashwanth Kangen, Michael F\"arber, 22 Aug 2025, Can Hallucinations Help? Boosting LLMs for Drug Discovery, https://arxiv.org/abs/2501.13824