牛哥精选 · 半年

📋 全部 🤖 AI·大模型 ⚡ 效率工具 📝 深度技术 🚀 产品观察 💰 商业科技 🔓 开源项目 🎨 设计创意 📖 阅读推荐 🏷 资源合集 🌱 成长效率

📝 深度技术 arXiv AI 2026-06-19

ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?

首个评估LLM Agent端到端解决运筹学任务的基准，揭示大模型在复杂优化问题上的能力边界

arXiv:2606.19787v1 Announce Type: new Abstract: Large language models are increasingly deployed as autonomous agents for multi-step tasks in executabl…

llm agents 运筹学基准测试大模型评估数学推理

🤖 AI·大模型 arXiv NLP 2026-06-03

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving

LLM解优化问题常陷多范式歧义，DCM-Agent双簇记忆机制精准破解，值得技术研究者关注。

arXiv:2604.20183v2 Announce Type: replace Abstract: Large Language Models (LLMs) often struggle with structural ambiguity in optimization problems, wh…

llm 优化问题结构歧义多范式 memory age

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving

📅 日期