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hallucination-mitigation

topic1 events
papersTODAY 04:00 UTC

Survey Reviews Causes, Corrections and Evaluation of Hallucination in Multimodal AI Models

A revised arXiv paper surveys research on hallucination in multimodal foundation models, focusing on large vision-language models. It organizes the literature around why these errors occur, methods proposed to reduce them, and how they are measured. The authors frame the work as a structured overview connecting causes, corrections and evaluation practices.

hallucination/multimodal/vision-language/evaluation