Author

Yuexiang Xie

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#artificial intelligence Jun 2026

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning

This work presents a general framework for training large language models (LLMs) to "Connect the Dots", a meta-capability required by long-lifecycle agents, and presents proof-of-concept implementations of the CoD framework, including a GRPO-style RL algorithm with fine-grained credit assignment.

Yan-Xi Chen, Wei-Jie Shi, Bo Hu et al. · arXiv.org · 0 citations

Jul 2026

Hybrid Analysis for Secure MCP Tool Use in LLM Agents

MTGuard is proposed, a hybrid analysis-based defense framework designed to safeguard the use of MCP tools in LLM agents by leveraging lifecycle-aware static-dynamic co-analysis and effectively mitigates multiple categories of harmful tool use across different LLM agents while maintaining performance on benign user task...

Ping He, Yuexiang Xie, Yaliang Li et al. · arXiv.org · 0 citations

Preprint Jul 2026

From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents

EvoSOP is introduced, a framework that empowers agents to extract SOPs from execution trajectories and iteratively optimize the toolset through a systematic lifecycle of construction, merging, evaluation, and pruning, providing a scalable pathway for the development of self-evolving agents.

Haipeng Ding, Yuexiang Xie, Zhewei Wei et al. · 2 citations