Author

Pin-Qiao Wang

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#machine learning Preprint Sep 2026

Contamination, Prior, or Evidence? Decomposing and Training Evidence Use in Whole-Slide Vision-Language Models

Pathology vision-language models (VLMs) are conventionally evaluated by accuracy, but accuracy alone does not measure evidence use: it may conflate dataset contamination, prior knowledge, and image evidence. In a motivating study of lymph-node metastasis prediction, we found that most public pathology VLMs showed minim...

Wen-Hao Zhang, Zhong-Liang Zhou, Shi-Yuan Zhang et al. · 0 citations

#natural language process... Preprint Aug 2026

You Shouldn't Have Asked: A Pragmatics-Inspired Taxonomy for Evaluating LLM Refusals

This work proposes the first taxonomy of LLM refusals that is grounded in pragmatic theory and finds that although models differ in how they refuse, their refusals are overall explicit and strongly morally evaluative, with interactional repair occurring mainly through offering or providing safer alternatives instead of...

Ruo-Xuan Li, Pin-Qiao Wang, Sheng Li et al. · 0 citations