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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 41–49 of 49 papers

TitleStatusHype
Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of SummarizationCode0
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language ModelsCode0
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption UtilizationCode0
MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM HallucinationsCode0
DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in BiomedicineCode0
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination EvaluationCode0
DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation BenchmarkCode0
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsCode0
DefAn: Definitive Answer Dataset for LLMs Hallucination EvaluationCode0
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