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ClinicalRewardModel-Qwen2_5-7B
This is a 5-head reward model fine-tuned on clinical decision-making data using the Qwen2.5-7B-Instruct backbone. It is trained to evaluate clinical vignette–based multiple-choice questions across five expert-defined clinical criteria:
- Clinical Plausibility
- Clinical Utility
- Quality of Decision Path
- Alignment to Decision Path
- Correctness of the Suggested Answer
Each head independently scores one dimension on a 1–5 Likert scale. This model supports fine-grained quality filtering for guideline-based QA datasets such as MedGUIDE-MCQA-8K.
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