5 papers
SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
Shuai Pan, Yixiang Liu, Jiaye Gao +7
Large language model (LLM) agent systems are increasingly expected to improve after deployment, but existing work often decouples two adaptation targets: skill evolution and multi-…
Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web
Xiaohang Nie, Zihan Guo, Kezhuo Yang +9
AI agents are rapidly expanding in both capability and population: they now write code, operate computers across platforms, manage cloud infrastructure, and make purchasing decisio…
Modular Task Decomposition and Dynamic Collaboration in Multi-Agent Systems Driven by Large Language Models
Shuaidong Pan, Di Wu
This paper addresses the limitations of a single agent in task decomposition and collaboration during complex task execution, and proposes a multi-agent architecture for modular ta…
Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models
Di Wu, Shuaidong Pan
This paper proposes a modeling framework for dynamic topic evolution based on temporal large language models. The method first uses a large language model to obtain contextual embe…
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
Shuaidong Pan, Di Wu
This study addresses the reliability of automatic summarization in high-risk scenarios and proposes a large language model framework that integrates uncertainty quantification and…