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Hallucination Evaluation

Evaluate the ability of LLM to generate non-hallucination text or assess the capability of LLM to recognize hallucinations.

Papers

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Showing 11–20 of 49 papers

TitleStatusHype
Alleviating Hallucinations of Large Language Models through Induced HallucinationsCode1
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and MitigationCode1
Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationCode1
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language ModelsCode1
Enhancing LLM's Cognition via StructurizationCode1
Benchmarking LLM Faithfulness in RAG with Evolving LeaderboardsCode1
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction DataCode1
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
Evaluation and Analysis of Hallucination in Large Vision-Language ModelsCode1
Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsCode1
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