A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
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2311.05232
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Published
Halu
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Lynx: An Open Source Hallucination Evaluation Model
Paper • 2407.08488 • PublishedNote HaluBench
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RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
Paper • 2401.00396 • Published • 3 -
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Paper • 2404.10774 • Published • 2 -
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Paper • 2407.17468 • Published -
HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild
Paper • 2403.04307 • Published -
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Paper • 2305.14251 • Published • 2 -
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Paper • 2305.11747 • Published -
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
Paper • 2407.10817 • Published • 13 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3