AI RESEARCH
DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions
arXiv CS.CL
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ArXi:2604.05623v1 Announce Type: cross Accurately detecting and localizing hallucinations is a critical task for ensuring high reliability of image captions. In the era of Multimodal Large Language Models (MLLMs), captions have evolved from brief sentences into comprehensive narratives, often spanning hundreds of words. This shift exponentially increases the challenge: models must now pinpoint specific erroneous spans or words within extensive contexts, rather than merely flag response-level inconsistencies.