3 papers
cs.AI2026
Scaling Scientific Discovery Environments for Turn-Level Agentic RL
Yucheng Xu, Keyi Zhang, Yuyang Yu +4
Large language model agents have shown promising capabilities in data-driven scientific discovery tasks, where an agent interacts with an execution environment and produces a stati…
cs.RO2026
Event-Driven Proactive Assistive Manipulation with Grounded Vision-Language Planning
Fengkai Liu, Hao Su, Haozhuang Chi +6
Assistance in collaborative manipulation is often initiated by user instructions, making high-level reasoning request-driven. In fluent human teamwork, however, partners often infe…
cs.CL2024
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
Junda Wang, Zonghai Yao, Zhichao Yang +5
We introduce NoteChat, a novel cooperative multi-agent framework leveraging Large Language Models (LLMs) to generate patient-physician dialogues. NoteChat embodies the principle th…