Xin Sun

The paper proposes TCP-MCP, a co-evolution framework that jointly optimizes agent prompts and communication topologies to design highly efficient and effective multi-agent systems.

The paper theoretically analyzes the limitations of parameter-based knowledge editing and empirically demonstrates that these methods consistently damage core LLM capabilities compared to retrieval-based baselines.

This paper proposes multi-carrier positioning frameworks for pinching-antenna systems using matrix pencil-based and Rank-1 ranging algorithms, and a two-stage weighted nonlinear least-squares positioning algorithm.