Author

M. M. Asif Ferdous

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Jul 2026

Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation

It is concluded that small VLMs encode usable self-knowledge that their verbalized output does not express, that internal probability is therefore the better deferral signal in constrained deployment, and that neither signal should be trusted under severe low-light conditions.

M. M. Asif Ferdous · arXiv.org · 0 citations

Jul 2026

Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation

This work measures, on identical inputs, how model scale and 4-bit quantization affect two confidence signals in the Qwen2-VL family: the confidence a model states in natural language, and its own mean token probability over the answer it generates, and argues that error-detection AUROC is the metric that exposes the difference between the two signals.

M. M. Asif Ferdous · arXiv.org · 0 citations