3 papers
cs.AI2026
Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision
Xianda Zheng, Huan Gao, Meng-Fen Chiang +3
Despite recent progress, the reasoning capabilities of large multimodal language models (MLLMs) remain fundamentally constrained by static supervision, where fixed prompts, rules,…
cs.CV2026
Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
Miao Jing, Mengting Jia, Junling Lin +4
Recent advances in vision-language models (VLMs) have achieved remarkable performance on standard medical benchmarks, yet their true clinical reasoning ability remains unclear. Exi…
cs.LG2025
MedGR: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
Weihai Zhi, Jiayan Guo, Shangyang Li
The application of Vision-Language Models (VLMs) in medicine is critically hampered by the scarcity of high-quality, expert-annotated data. Supervised Fine-Tuning (SFT) on existing…