This work introduces MedJudge, a multimodal medical reward modeling method that supports interpretable, evidence-grounded, and clinically-aligned decision evaluation, and proposes UMLS-based Concept Overlap (UCO) to evaluate explanation quality, measuring concept-level alignment with clinician expectations.
Yun-Hong He, Kai Zhang, Jiarong Qian et al.· Proceedings of the 32nd ACM...· 0 citations
Dr. Claw is presented, an open-source workspace that wraps existing coding-agent executors in a controllable and auditable human-in-the-loop workflow rather than introducing another autonomous agent.
D. Song, Han-Rong Zhang, Dawei Liu et al.· 0 citations
PreDiff-LM preserves causal attention within the observed prompt while allowing full bidirectional attention within the masked target, position hybrid attention as a complementary mechanism for adapting pretrained causal backbones, while making explicit the remaining quality and inference-efficiency gaps to optimized A...
This work introduces MedJudge, a multimodal medical reward modeling method that supports interpretable, evidence-grounded, and clinically-aligned decision evaluation, and proposes UMLS-based Concept Overlap (UCO) to evaluate explanation quality, measuring concept-level alignment with clinician expectations.
Yunhong He, Kai Zhang, Jiarong Qian et al.· Proceedings of the 32nd ACM...· 0 citations
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