Deploying language agents in real applications demands more than the right answer: an agent must execute a multi-step business process correctly, follow domain-specific rules, and interact with a user across a dialogue, where the gap between saying and doing is the gap between a satisfied customer and a real loss. We a...
PersonalityScienceBench evaluates how agents collaborate with diverse researchers alongside whether they complete the task, and across eighteen modelconfigurations, task performance, fact recovery, and self-repetition reveal different strengths.
Si-Yang Wu, Wei-Zhi Zhang, Chen Yang et al.· 0 citations
Photoplethysmography (PPG) is widely recorded by clinical monitors and consumer wearables, providing a scalable source of continuous physiological information. These recordings offer an opportunity for physiological assessment at scale, but realizing this potential requires models to learn from both signal-derived phys...
Xiao-Da Wang, Min-Xiao Wang, Maxwell A. Xu et al.· 0 citations
TimeBraid, a series of unified time-series and language models that align pretrained language models and pretrained time-series foundation models through interleaved global residual attention layers, remains competitive with far larger general-purpose models and task-specific counterparts.
Xin-Yue Wang, Jia-Cheng Pang, Kun Zhou et al.· 0 citations
To the knowledge, RELIABLE-BA is the first multi-engine binding affinity prediction framework to combine evidential fusion with context-dependent reliability, offering a principled path toward trustworthy AI-guided drug discovery.
Yongchan Hong, Defu Cao, Wenjin Liu et al.· Proceedings of the 32nd ACM...· 0 citations
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