2 papers
cs.AI2026
Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
Anh Ta, Junjie Zhu, Shahin Shayandeh
Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajectory assessments remain inherently post-hoc. Disconnected from the act…
cs.CV2026
A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing
Chenhao Liu, Zelin Wen, Yan Tong +7
Large-scale radiology data are critical for developing robust medical AI systems. However, sharing such data across hospitals remains heavily constrained by privacy concerns. Exist…