Disease diagnosis is a key application of large language model (LLM) agents in healthcare. However, existing medical agents are primarily trained and evaluated with static question-answering data, providing limited opportunities to learn active information acquisition, examination decision-making, and dynamic clinical...
Sirry Chen, Fang-Ke Chen, Xuanwen Ding et al.· 0 citations
Language model agents are increasingly deployed in open-world tool environments, which require balancing exploring unknown capabilities and exploiting known ones. Existing methods face a performance-efficiency tradeoff: they either rigidly decouple exploration and execution or interleave them without coordination. We a...
Shengbin Yue, Hongru Wang, Siyuan Wang et al.· 1 citation
ObGynLongBench is introduced, a rule-grounded long-context EHR benchmark for obstetric and gynecologic decision-making, comprising 1,500 clinical decision-point cases from 976 real pregnancy EHR histories and traceable rules.
Jun Xiang, Zhi-Jie Bao, Rong Hu et al.· 1 citation
RIDGE, a frame selection framework that reads the frame-query similarity curve as a temporal signal, partitions the timeline into structural regions and applies region-specific selection to preserve event cores, transitions, buildup, aftermath, and contextual frames under a fixed budget.
Shan Xu, Meng-Xin Luo, Meng-Chen Qian et al.· 0 citations
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