AINeutralarXiv – CS AI · 4h ago7/10
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Benchmarking Deflection and Hallucination in Large Vision-Language Models
Researchers introduce VLM-DeflectionBench, a new benchmark with 2,775 samples designed to evaluate how large vision-language models handle conflicting or insufficient evidence. The study reveals that most state-of-the-art LVLMs fail to appropriately deflect when faced with noisy or misleading information, highlighting critical gaps in model reliability for knowledge-intensive tasks.