SciGen-Verifier is constructed, a reasoning-driven multimodal verifier trained via cold-start supervised fine-tuning followed by a curriculum-based two-stage reinforcement learning pipeline that achieves competitive performance against much larger proprietary models.
Jia-Li Chen, Zheng-Teng Lin, Zu-Qi Wang et al.· 0 citations
Experimental results show that the proposed Reward-Driven Consistency Learning framework significantly outperforms baselines in multiple cross-view settings, exhibiting superior generalization and robustness under perspective shifts.
Liuwu Li, Rong-Er Ding, Zehang Lin et al.· Proceedings of the Thirty-Fi...· 0 citations
MASGR (Multi-Agent Structured Graph Reasoning), a framework that treats referral not as a classification task but as a structured graph construction problem, significantly outperforms state-of-the-art LLMs and existing multi-agent systems, particularly in complex cases requiring the balancing of chronic disease managem...
This work proposes CDPR (Counterfactual Diagnostic Process Reward), which needs no expert labels and no learned critic and improves diagnostic accuracy while clearly reducing the number and cost of examinations.
Qi Peng, Yi Cai, Changmeng Zheng et al.· 0 citations
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