1
Learning to Configure Agentic AI Systems
提出学习式配置方法，替代手动调优，提升LLM智能体系统的自适应能力
arXiv:2602.11574v3 Announce Type: replace Abstract: Configuring LLM-based agent systems involves choosing workflows, tools, token budgets, and prompts…
2
Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis
大模型结合记忆引导树搜索与跨分支知识迁移，自动合成组合优化求解器，突破传统方法瓶颈。
arXiv:2605.17539v2 Announce Type: replace Abstract: Combinatorial optimization (CO) underlies decision-making from logistics to chip design, where inf…
3
Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method
提出异步线性最小化预言机动量方法，加速大规模组合优化
arXiv:2605.18174v1 Announce Type: new Abstract: Muon has recently emerged as a strong alternative to AdamW for training neural networks, with encourag…
4
PyCSP3-Scheduling: A Scheduling Extension for PyCSP3
PyCSP3新增调度扩展，原生支持区间变量和资源函数，简化约束建模与求解分离。
arXiv:2605.14559v1 Announce Type: new Abstract: PyCSP$^3$ provides a productive way to build constraint models for solving combinatorial constrained p…