Preprint
Sep 2026
Look Where It Counts: A Free, Label-Free Visual Evidence Signal for Fine-Grained Vision-Language Reasoning
The contrastive evidence gap is formalized, the per-token log-likelihood ratio that a model assigns to its own output when conditioned on a question-relevant region versus an irrelevant one, and it is shown that the gap is complementary to the model's own confidence.
Santiram Tiwari, N. Naik, Devbrat Pandey et al.
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