Alternatives and similar repositories for Chain-of-Experts

Users that are interested in Chain-of-Experts are comparing it to the libraries listed below

• antgroup / LLMOPT
  The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…
  ☆64Updated last month
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆182Updated 3 weeks ago
• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆156Updated 2 months ago
• yangzhch6 / ReSocratic
  OptiBench and ReSocratic Synthesis Method
  ☆23Updated 2 months ago
• bwz96sco / or_llm_agent
  ☆28Updated last month
• sunnweiwei / CO-Bench
  Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
  ☆19Updated last week
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆163Updated 3 months ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆303Updated last week
• teshnizi / OptiMUS
  Optimization Modeling Using mip Solvers and large language models
  ☆192Updated 6 months ago
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆51Updated last year
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆70Updated this week
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆91Updated 2 months ago
• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆245Updated 7 months ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• nl4opt / nl4opt-competition
  Natural Language for Optimization Modelling
  ☆51Updated 5 months ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆63Updated 4 months ago
• CJReinforce / PURE
  Official code for the paper, "Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning"
  ☆123Updated this week
• xiaofangxd / LLM_EA
  Evolutionary-Algorithm and Large-Language-Model
  ☆16Updated 7 months ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆57Updated 2 years ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆95Updated 2 months ago
• Wangmerlyn / MCTS-GSM8k-Demo
  This is a repo for showcasing using MCTS with LLMs to solve gsm8k problems
  ☆82Updated 2 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• zz1358m / MCTS-AHD-master
  Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.
  ☆39Updated 2 weeks ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆89Updated 4 months ago
• zjunlp / WorfBench
  [ICLR 2025] Benchmarking Agentic Workflow Generation
  ☆94Updated 3 months ago
• ADaM-BJTU / OpenRFT
  OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning
  ☆141Updated 5 months ago
• Thinklab-SJTU / ML4CO-Kit
  A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).
  ☆48Updated this week
• AGI-Edgerunners / LLM-Optimizers-Papers
  Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
  ☆244Updated last year
• thu-wyz / inference_scaling
  ☆69Updated 6 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆37Updated 2 months ago