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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 31–40 of 49 papers

TitleStatusHype
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language ModelsCode0
Lynx: An Open Source Hallucination Evaluation Model—0
A Survey of Hallucination in Large Visual Language Models—0
FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs—0
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization—0
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems—0
Mitigating Image Captioning Hallucinations in Vision-Language Models—0
Do Androids Know They're Only Dreaming of Electric Sheep?—0
Real-Time Evaluation Models for RAG: Who Detects Hallucinations Best?—0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
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