DiagR1, a Qwen2.5-VL model post-trained with SFT and GRPO and prompted with classifier outputs, substantially improves BLEU and BERTScore for GI pathology report generation, though clinical-relevance claims lack supporting evaluation.
Burden and cost of gastrointestinal, liver, and pancreatic diseases in the united states: Update 2024,
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DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis
DiagR1, a Qwen2.5-VL model post-trained with SFT and GRPO and prompted with classifier outputs, substantially improves BLEU and BERTScore for GI pathology report generation, though clinical-relevance claims lack supporting evaluation.