Generative Hallucination

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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Latest papers 28

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MISHAP-Bench: A Hallucination Benchmark for Large Audio-Language Models
Sep 27, 2026Zhi Wen Soi, Giulio Segalini, Jian-Jia Chen +1Large Audio Language Models Large Language Model Hallucination
University of Neuchâtel · TU Dortmund University · RWTH Aachen University +1
Hallucination Neurons and Where to Find Them: An Investigation into the existence of Hallucination Neurons
Sep 24, 2026Huseyin Cavus, Sebin Sabu, Joshua Spear +2Generative Hallucination Neurons
Trakya University, Edirne, Türkiye · DRIVE, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
When the Wrong Key Wins: Understanding and Detecting Hallucinations in LLMs
Sep 14, 2026Xuhan Tong, Haoyue Bai, Dawei Zhou +2Large Language Model Hallucination Hallucination Detection
University of Wisconsin–Madison
Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
Sep 8, 2026Runsong Jia, Zhen Fang, Mengjia Wu +2Hallucination Detection Generative Hallucination
University of Technology Sydney, Sydney, Australia
Reducing Hallucinated Transcripts in Whisper via Hallucination Space Projection
Sep 7, 2026Maryam Abbasihafshejani, Murtuza JadliwalaAutomatic Speaker Verification Hallucination Mitigation
The university of Texas at San Antonio
Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning
Aug 31, 2026Arthur Becker, Jakob Kemmler, David Thulke +3Supervised Finetuning Model Fine-Tuning
AppTek GmbH, Aachen, Germany · Machine Learning and Human Language Technology, RWTH Aachen University, Germany
SpanCalib-VLM: Calibrated Hallucination Span Detection in Vision-Language Models
Aug 30, 2026Amanuel Gizachew Abebe, Yasmin MoslemCitation Hallucination Detection Ava-Vlm
Shaggar Institute of Technology · Shaggar City, Ethiopia · Trinity College Dublin +1
Experience-Calibrated Contrastive Decoding for Mitigating Hallucinations in LM-Based Text-to-Speech
Aug 1, 2026Chenlin Liu, Minghui Fang, Zhonghao Bi +3Contrastive Decoding Flow-Matching Text-To-Speech
Harbin Institute of Technology, China · Zhejiang University, China
Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs
Jul 31, 2026Mingyu Wang, Weilin Jin, Wenbo Li +5Large Language Model Hallucination Generative Hallucination
Peking University, Beijing, China · Joy Future Academy, Beijing, China
Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
Jul 23, 2026G. L. T. Chamika, S. N. A. Dhanapala, P. H. S. V. Nimalaweera +2Adversarial Training Unsupervised
Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka · Department of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities
Jul 15, 2026Eunna Lee, Jungpyo Nam, Sunjun HwangLarge Language Models Fail Generative Hallucination
Independent Researcher · Korea Cyber University · Yonsei University
HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models
Jul 8, 2026Feng He, Zhenting Wang, Qifan Wang +4Large Language Model Hallucination Citation Hallucination
Purdue University · Rutgers University · Meta AI +2
Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization
Jul 7, 2026Kaishen Wang, Tong Zheng, Xuehao Cui +3Large Reasoning Models Generative Hallucination
Department of Computer Science, University of Maryland, College Park
Statistically Meaningful Geometry (SMG) Beyond the Euclidean Paradigm, with Application to Generative AI
Jul 3, 2026Bing Cheng, Yi-Shuai Niu, Howell Tong +1Overparameterization Generative Artificial Intelligence
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China · AMSS Center for Forecasting Science, Chinese Academy of Sciences, Beijing, China · Beijing Institute of Mathematical Sciences and Applications (BIMSA), Beijing, China +4
Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting
Jul 1, 2026Shashank Indukuri, Adarsh AgrawalLarge Language Model Hallucination Generative Hallucination
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI
Jun 16, 2026Lalit Yadav, Akshaj GurugubelliLegal Reasoning Tasks Generative Hallucination
Independent Researcher, Sunnyvale, CA, USA · Independent Researcher, San Diego, CA, USA
FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
Jun 16, 2026Pianran Guo, Pengcheng Zhou, Yucheng Jian +3Financial Question Answering Multimodal Reasoning
Beijing University of Posts and Telecommunications · Wuhan Eonray Technology Co., Ltd. · Queen Mary University of London
Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability
Jun 8, 2026Emirhan Bilgiç, Baptiste Caramiaux, Zhi Yan +1Generative Hallucination Hallucination Rate
U2IS, ENSTA, Institut Polytechnique de Paris, Palaiseau · ISIR, Université Sorbonne, Pierre et Marie Curie, Paris · AMIAD, Pôle Recherche, Palaiseau
Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models
Jun 7, 2026Lucrezia Laraspata, Giovanna Castellano, Gennaro VessioLarge Language Model Hallucination Generative Hallucination
Department of Computer Science, University of Bari Aldo Moro, Bari, Italy
Measurement Geometry and Design for Trustworthy Generative Inverse Problems
Jun 1, 2026Pengfei Jin, Na Li, Quanzheng LiBayesian Inverse Problems Inverse Problem
Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 · School of Engineering and Applied Sciences, Harvard University, Boston, MA 02138
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
May 29, 2026Xiang Fang, Wanlong FangVideo-Language Models Lagrangian Methods
School of Software Engineering, Huazhong University of Science and Technology · Nanyang Technological University, Singapore
On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning
May 26, 2026Xiaotian Ye, Xiaohan Wang, Mengqi Zhang +1Large Language Model Unlearning Counterfactual Learning
Beijing University of Posts and Telecommunications · Huazhong University of Science and Technology · Shandong University +1
Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation
May 25, 2026Ruoxi Cheng, Haoxuan Ma, Zhengfei Hai +6Large Language Model Hallucination Generative Hallucination
Fudan University · Tencent · Nanjing University +3
Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
May 20, 2026Zhe Cheng, Wenyu Chen, Fode Zhang +1Recent Vision-Language Models Hallucination Mitigation
Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, China. · Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
May 18, 2026Franciskus Xaverius Erick, Johanna Paula Müller, Bernhard KainzDigital Pathology Visual In-Context Learning
FAU Erlangen-Nürnberg, Erlangen, DE · Department of Computing, Imperial College London, London, UK
MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs
May 14, 2026Wei Ding, Yilin Li, Yudong Zhang +4Hallucination Mitigation Generative Hallucination
Tsinghua University Beijing, China · Tsinghua University, Tencent Beijing, China · Tencent Beijing, China +2
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models
May 13, 2026Jiaxin Liu, Ding Zhong, Yue Wang +6Object Hallucination Generative Hallucination
UIUC · UMich · Stanford +5
Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
May 6, 2026Nicholas S. Kersting, Vittorio Castelli, Chieh Ting Yeh +2Text Corpora Field Evaluation
Oracle Corporation

Sep 27, 2026, cs.LGJ/K move · Enter open · S save

MISHAP-Bench: A Hallucination Benchmark for Large Audio-Language Models

Zhi Wen Soi, Giulio Segalini, Jian-Jia Chen, Lydia Chen

University of Neuchâtel · TU Dortmund University · RWTH Aachen University+1

Large Audio Language Models Large Language Model Hallucination Generative Hallucination Open-Ended Responses

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Large audio-language models (LALMs) produce fluent responses about audio but often hallucinate by making plausible yet ungrounded claims. Existing audio hallucination benchmarks mainly measure response correctness, leaving it unclear whether an LALM hallucinates or simply fails to understand the audio. We challenge correctness-based evaluation by defining two hallucination categories: (i) context, where claims are not grounded in the audio; and (ii) knowledge, where claims about audio-related topics lack support from externally verifiable facts. We introduce MISHAP-Bench, a comprehensive benchmark with 12,000 challenging open-ended question-audio pairs and a rigorous evaluation pipeline covering both categories. To evaluate open-ended responses, we propose a groundedness judge that uses reference rubrics and judge prompts guided by human annotations. We extensively evaluate ten state-of-the-art LALMs and show that hallucination remains substantial. Even a frontier model such as Gemini 3.7 Flash reaches a hallucination rate of 36.5%. We further adapt and benchmark four mitigation methods from multiple domains for LALMs. Despite some improvements, effective hallucination mitigation remains an open challenge. Finally, we call on the community to evaluate hallucination and benchmark mitigation methods with MISHAP-Bench.

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Latest papers 28