共计 38 篇文章

---

2026

01-31

论文理解【LLM-OR】——【Step-Opt】Training LLMs for Optimization Modeling via Iterative Data Synthesis and

01-25

论文理解【LLM-OR】—— 【PaMOP】Guiding large language models in modeling optimization problems via question partitioning

2025

12-29

论文理解【LLM-OR】——【ORLM】Training Large Language Models for Optimization Modeling

12-29

论文理解【LLM-OR】——【OptiTree】Hierarchical thoughts generation with tree search for LLM optimization model

12-20

LLM-RL的探索困境

12-14

论文理解 【LLM-RL】—— Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model

11-02

小目标检测的尺寸极限

11-02

Wasserstein 距离简介

10-16

论文理解【LLM-回归】—— Decoding-based Regression

10-16

论文理解【LLM-回归】——【RAFT】Better autoregressive regression with LLMs via regression-aware fine-tuning