AI RESEARCH
Risk-aware Selective Prompting for Hallucination Mitigation in Large Vision-Language Models
arXiv CS.CL
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ArXi:2605.28123v1 Announce Type: new Prompt-based verification is widely used to mitigate hallucinations in large vision-language models (LVLMs), yet when it helps remains poorly understood. We systematically study verification prompting across two representative LVLM architectures and hallucination benchmarks, and find that it is a risk-bearing intervention: its corrections increase with input difficulty, while newly