1
Interactive Learning for LLM Reasoning
探讨如何通过交互式训练环境增强多LLM协作推理能力。
arXiv:2509.26306v5 Announce Type: replace Abstract: Existing multi-agent learning approaches have developed interactive training environments to expli…
2
Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals
多智能体LLM训练新范式：引入角色分解与跨智能体学习信号，实现高效协作与分工。
arXiv:2606.10684v1 Announce Type: cross Abstract: Modern language agents which perform multi-step reasoning have shown strong performance in knowledge…
3
OpenSkill: Open-World Self-Evolution for LLM Agents
LLM智能体如何在开放世界中自主进化？这篇论文提出OpenSkill框架，让智能体持续学习与适应。
arXiv:2606.06741v1 Announce Type: new Abstract: Self-evolving agents requires adaptation after deployment, but existing approaches assume a usable lea…
4
Agentopia: Long-Term Life Simulation and Learning in Agent Societies
79页长文，探索智能体社会中的长期生命模拟与学习，AI前沿研究不容错过。
arXiv:2606.07513v1 Announce Type: new Abstract: Humans learn from social life. Simulating this process with LLM-powered agents represents a promising …
5
LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
LLM4Cov用执行感知的智能体学习生成高覆盖率测试台，为硬件验证自动化开辟新路径。
arXiv:2602.16953v3 Announce Type: replace-cross Abstract: Execution-aware LLM agents offer a promising paradigm for learning from tool feedback, but s…