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cs.CV2026
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning
Junha Jung, Minbyul Jeong, Suhyeon Lim +5
Recent multimodal large language models have shown great promise in clinical image reasoning, but existing post-training pipelines remain predominantly outcome-centric, relying on…
cs.CV2026
Benchmarking Direct Preference Optimization for Medical Large Vision-Language Models
Dain Kim, Jiwoo Lee, Jaehoon Yun +4
Large Vision-Language Models (LVLMs) hold significant promise for medical applications, yet their deployment is often constrained by insufficient alignment and reliability. While D…