antgroup / LLMOPTLinks
The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enabling users to fully utilize LLMOPT.
☆73Updated 2 months ago
Alternatives and similar repositories for LLMOPT
Users that are interested in LLMOPT are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆103Updated 5 months ago
- OptiBench and ReSocratic Synthesis Method☆25Updated 3 months ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆191Updated 2 months ago
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆104Updated 3 months ago
- ORLM: Training Large Language Models for Optimization Modeling☆173Updated 3 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆71Updated last month
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆20Updated last month
- Evolution of Heuristics☆181Updated 5 months ago
- Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆47Updated last month
- Natural Language for Optimization Modelling☆52Updated last month
- Large Language Model for MOEA☆58Updated last year
- A Collection on Large Language Models for Optimization☆268Updated 8 months ago
- ☆23Updated last year
- ☆34Updated 2 months ago
- Optimization Modeling Using mip Solvers and large language models☆199Updated 8 months ago
- Recent research papers about Foundation Models for Combinatorial Optimization☆326Updated this week
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆60Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆63Updated 2 weeks ago
- Dataset & models of RRNCO: Real-world Routing NCO☆17Updated 2 months ago
- ☆32Updated 2 years ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆37Updated 3 months ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆51Updated last week
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- ☆11Updated 9 months ago
- ☆36Updated 2 months ago
- [NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [N…☆12Updated 2 weeks ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆42Updated 2 months ago
- Predict and search framework for MilP☆58Updated 2 years ago
- Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.☆244Updated last year