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Rongyu Yu

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Preprint Aug 2026

Answer-Level Trust Selection for Physical Vision-Language Reasoning

Vision-language models (VLMs) can estimate physical quantities such as duration, speed, and acceleration from visual observations, but existing benchmarks primarily assess overall model performance against annotated ground truth. In deployment, a key question is whether an individual prediction can be trusted when its...

Rongyu Yu, Ke Niu, Feng-Xiang He · 0 citations

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