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awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
https://github.com/EdinburghNLP/awesome-hallucination-detection
- Mitigating LLM Hallucinations: a multifaceted approach
- Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
- Survey of Hallucination in Natural Language Generation
- A Survey of Hallucination in Large Foundation Models
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
- here
- LLM Powered Autonomous Agents
- SemEval-2024 Task-6 - SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
- llm-hallucination-survey
- How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
- The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
- Survey of Hallucination in Natural Language Generation - based* metrics. The latter are further structured in the following classes:
- A Survey of Hallucination in “Large” Foundation Models - specific LLMs*.
- The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models - error Hallucination, Relation-error Hallucination, Incompleteness Hallucination, Outdatedness Hallucination, Overclaim Hallucination, Unverifiability Hallucination.
- AnyScale - Llama 2 is about as factually accurate as GPT-4 for summaries and is 30X cheaper
- Arthur.ai - Hallucination Experiment
- Vectara - Cut the Bull…. Detecting Hallucinations in Large Language Models
- Vectara LLM Hallucination Leaderboard
- TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
- AlignScore Code and Model - GutHub
- Google True Teacher Model - HuggingFace
- Hallucination Evaluation Model - HuggingFace
- Summac Code and Model - GitHub
- SCALE Code and Model - GutHub
- Neural Path Hunter
- Survey of Hallucination in Natural Language Generation