4 papers
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
Renjun Xu, Yang Yan
The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) are deployed in practice. Rather than en…
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
Renjun Xu, Jingwen Peng
This survey examines the rapidly evolving field of Deep Research systems -- AI-powered applications that automate complex research workflows through the integration of large langua…
Scaling Laws in Scientific Discovery with AI and Robot Scientists
Pengsong Zhang, Heng Zhang, Huazhe Xu +7
Scientific discovery is poised for rapid advancement through advanced robotics and artificial intelligence. Current scientific practices face substantial limitations as manual expe…
MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules
Kejie Chen, Lin Wang, Qinghai Zhang +1
Recent studies have highlighted the limitations of large language models in mathematical reasoning, particularly their inability to capture the underlying logic. Inspired by meta-l…