AI RESEARCH
Once Correct, Still Wrong: Counterfactual Hallucination in Multilingual Vision-Language Models
arXiv CS.CL
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ArXi:2602.05437v2 Announce Type: replace Vision-language models (VLMs) can achieve high accuracy while still accepting culturally plausible but visually incorrect interpretations. Existing hallucination benchmarks rarely test this failure mode, particularly outside Western contexts and English. We