LLM4Opt

Overview

LLM4Opt is a community-curated collection of research papers and resources on using large language models for optimization. It organizes works across domains like combinatorial optimization and parameter tuning, providing a structured bibliography for researchers and practitioners.

Best for

Best for
Researchers and students surveying LLM applications in optimization

Use cases

• Surveying state-of-the-art LLM-based optimization techniques
• Identifying relevant papers for benchmarking or reproduction
• Tracking research trends in LLM for optimization problems

Notes

LLM4Opt is a community-curated collection of research papers and resources on using large language models for optimization. It organizes works across domains like combinatorial optimization and parameter tuning, providing a structured bibliography for researchers and practitioners.

368 stars on GitHub. Last updated 2026-03-31.

Use cases

• Surveying state-of-the-art LLM-based optimization techniques
• Identifying relevant papers for benchmarking or reproduction
• Tracking research trends in LLM for optimization problems

Pros

• Curated central hub for a rapidly growing field
• Categorizes papers by problem type and method
• Free and open to all, easy to navigate

Cons

• Limited to a bibliography, no code or implementations
• Requires manual effort to stay updated as community grows
• No direct tooling or integration for practical use

Indexed from awesome-llm and enriched against its public facts.