(Im)possibility of Automated Hallucination Detection in Large Language Models
arxiv.org · 8,904 words · saved by 1 readers
N/A
(Im)possibility of Automated Hallucination Detection in Large Language Models Amin Karbasi Omar Montasser Yale University Yale University amin.karbasi@yale.edu omar.montasser@yale.edu arXiv:2504.17004v2 [cs.LG] 2 Jun 2025 John Sous…
related reading
- Chain-of-Verification Reduces Hallucination in Large Language Modelsarxiv.org
- Real-Time Detection of Hallucinated Entities in Long-Form Generationhallucination-probes.com
- Tracing the thoughts of a large language model \ Anthropicanthropic.com
- HALVA: Hallucination Attenuated Language and Vision Assistantresearch.google
- Features as Rewards: Using Interpretability to Reduce Hallucinationsgoodfire.ai
- Language Models Learn to Mislead Humans via RLHFarxiv.org
- Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Textarxiv.org
- [2512.21577] A Unified Definition of Hallucination: It's The World Model, Stupid!arxiv.org
- 2212.03827arxiv.org
- [2202.03629] Survey of Hallucination in Natural Language Generationarxiv.org
- Unfamiliar Finetuning Examples Control How Language Models Hallucinatearxiv.org
- Emergent introspective awareness in large language models \ Anthropicanthropic.com