3 papers
cs.CL2026
Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents
Yuhan Guo, Cong Guo, Aiwen Sun +12
Multimodal large-scale models have significantly advanced the development of web agents, enabling perception and interaction with digital environments akin to human cognition. In t…
cs.AI2025
Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
Yinggan Xu, Hana Kimlee, Yijia Xiao +1
Large Language Models (LLMs) are playing an increasingly important role in physics research by assisting with symbolic manipulation, numerical computation, and scientific reasoning…
cs.AI2025
Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
Xiongbin Gui, Hanlin Lv, Xiao Wang +3
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carcinoma and liver cirrhosis, often requires interpreting semantically complex criteri…