Author

Yu-Feng Wu

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2026

PathAgentBench: Benchmarking Evidence-Seeking Vision-Language Models on Whole-Slide Pathology Image

PathA-gentBench is introduced, a benchmark for evaluating evidence-seeking vision-language models (VLMs) across four complementary capabilities: image-to-text matching for evidence interpretation, text-to-image retrieval for evidence verification, diagnostic-region localization for evidence acquisition, and multi-scale...

Dan-Kai Liao, Tian-Yi Zhang, Yu-Feng Wu et al. · arXiv.org · 0 citations

Jul 2026

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis

A benchmark and training framework for shortcut-resistant cross-scale pathology reasoning, and an Adversarial Text-only Screening strategy for semantic reasoning questions and a Structure-controlled Distractor Sampling strategy for visual grounding questions, encouraging models to rely on cross-scale visual evidence.

Chi Phan, Tian-Yi Zhang, Yu-Feng Wu et al. · arXiv.org · 1 citation

Preprint Jul 2026

EviPathBench: Benchmarking Evidence Acquisition and Reasoning in Vision-Language Models for Whole-Slide Pathology

EviPathBench is introduced, a benchmark for evaluating evidence acquisition and reasoning in vision-language models (VLMs) for whole-slide pathology and reveals a pronounced gap between reasoning over curated evidence and acquiring it from WSIs.

Dan-Kai Liao, Tian-Yi Zhang, Yu-Feng Wu et al. · 3 citations