Author

Jian-Cheng Lv

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#artificial intelligence Review Sep 2026

See, Measure, and Reason: Learning Visually Grounded Reasoning in Pathology

ASECT improves over its backbone on three external pathology benchmarks covering classification and question answering beyond cellular composition tasks, and improves over its backbone on three external pathology benchmarks covering classification and question answering beyond cellular composition tasks.

Cheng-Yang Zhang, Wen-Chuan Zhang, Bo Li et al. · 0 citations

Review Jul 2026

Do Pathology Vision-Language Models Truly See Pathology?

Results show that current pathology VLMs still exhibit a substantial gap between answer-side performance and visual-semantic binding, and this work presents PathBind, a benchmark comprising 2,600 samples that undergoes task-specific automated filtering and expert review to reduce textual shortcuts and improve entity-re...

Cheng-Yang Zhang, Wen-Chuan Zhang, Bo Li et al. · arXiv.org · 3 citations