yangzhch6 / ReSocraticLinks
OptiBench and ReSocratic Synthesis Method
☆24Updated 3 months ago
Alternatives and similar repositories for ReSocratic
Users that are interested in ReSocratic are comparing it to the libraries listed below
Sorting:
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆68Updated 2 months ago
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆20Updated 3 weeks ago
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆99Updated 4 months ago
- ☆33Updated last month
- Natural Language for Optimization Modelling☆52Updated 2 weeks ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆37Updated 2 months ago
- ☆42Updated last month
- ☆23Updated last year
- [ICLR 2025] Official code of "Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization"☆14Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆63Updated 5 months ago
- ☆11Updated 8 months ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆188Updated last month
- ORLM: Training Large Language Models for Optimization Modeling☆161Updated 2 months ago
- ☆33Updated 2 months ago
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆16Updated last month
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- ☆32Updated 2 years ago
- Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.☆244Updated last year
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders