ProMedical builds a 50k preference dataset with fine-grained rubrics and a multi-dimensional reward model that disentangles safety from proficiency, yielding 22.3% accuracy and 21.7% safety gains on Qwen3-8B via GRPO while generalizing to UltraMedical.
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ProMedical: Hierarchical Fine-Grained Criteria Modeling for Medical LLM Alignment via Explicit Injection
ProMedical builds a 50k preference dataset with fine-grained rubrics and a multi-dimensional reward model that disentangles safety from proficiency, yielding 22.3% accuracy and 21.7% safety gains on Qwen3-8B via GRPO while generalizing to UltraMedical.