arxivcs.LGcs.AI2026-07-09
When Thinking Hurts: Epistemic Signals in the Reasoning Chains of Visual Language Models
Uncertainty quantification for visual language models (VLMs) conventionally targets the answer token distribution. We provide the first three-family empirical characterisation of answer entropy behaviour in thinking-mode VLMs. Running four models on identical POPE adversarial sam…