共计 12 篇文章
2026
论文理解【LLM-OR】——【LLMOPT】Learning to Define and Solve General Optimization Problems from Scratch
论文理解【LLM-OR】——【OptiMUS】Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
LLM-based Agent 技术演进 —— 从 Prompt Engineering 到 Harness
论文理解【LLM-OR】——【SIRL】Solver-Informed RL-Grounding Large Language Models for Authentic Optimization M
论文理解【LLM-Clarification】——【QDrawer】Asking the Right Question at the Right Time
论文理解【LLM-OR】——【Step-Opt】Training LLMs for Optimization Modeling via Iterative Data Synthesis and
论文理解【LLM-OR】—— 【PaMOP】Guiding large language models in modeling optimization problems via question partitioning
2025
论文理解【LLM-OR】——【ORLM】Training Large Language Models for Optimization Modeling
论文理解【LLM-OR】——【OptiTree】Hierarchical thoughts generation with tree search for LLM optimization model
LLM-RL的探索困境