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New benchmark REG 2025 evaluates vision-language models for pathology reports

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced a new benchmark, REG 2025, to evaluate vision-language models (VLMs) for automated pathology diagnosis and report generation. This benchmark is supported by the Pan-Asia WSI-report dataset, comprising approximately 10,500 pairs from five institutions. The study analyzed various methods, finding that top-performing models utilized structured report representations and multimodal grounding, rather than relying solely on VLM capabilities. Key limitations identified include instability in quantitative attribute estimation and a tendency towards diagnostic overspecification. AI

IMPACT Establishes a new standard for evaluating AI in computational pathology, guiding future model development for clinical applications.

RANK_REASON The cluster describes a new benchmark and dataset for evaluating vision-language models in a specific domain, presented in an academic paper.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New benchmark REG 2025 evaluates vision-language models for pathology reports

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yumi Lee, Harim Oh, Hyoryung Kim, Minji Kim, Eunsu Kim, Hyeseong Lee, Junya Fukuoka, Andrey Bychkov, Jijgee Munkhdelger, Rajiv Kumar Kaushal, Ayushi Sahay, Rajni Yadav, Bharathi Prabakaran, Sulen Sarioglu, Serdar Balc{\i}, Ilknur Turkmen, Yuri Tolkach, C… ·

    Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

    arXiv:2609.00866v1 Announce Type: cross Abstract: The rapid advancement of vision-language models (VLMs) has accelerated progress in computational pathology; however, whole-slide image (WSI)-based pathology report generation remains limited by the scarcity of large-scale WSI--rep…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

    The rapid advancement of vision-language models (VLMs) has accelerated progress in computational pathology; however, whole-slide image (WSI)-based pathology report generation remains limited by the scarcity of large-scale WSI--report datasets and the complexity of mapping spatial…

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