🔥 Applying Large language models (LLMs) for diverse optimization tasks (Opt) is an emerging research area. This is a collection of references and papers of LLM4Opt. The Papers are sorted by time (first publicly available).
Any suggestions and pull requests are welcomed!
It is far from a comprehensive list. If you want to update the list:
- Fork, Add, and Merge
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- Contact Fei Liu (fliu36-c@my.cityu.edu.hk)
The sharing principle of these references here is for research. If any authors do not want their paper to be listed here, please feel free to contact us.
| Project Name | Description |
|---|---|
| EoH (Evolution of Heuristics) | optimization, mathematics, machine learning, etc |
| OpenELM | robots, image, programming puzzles, etc |
| Event | Link |
|---|---|
| NeurIPS 2023 Workshop: Foundation Models for Decision Making | Link |
| AAAI 2024 Workshop: Public Sector LLMs: Algorithmic and Sociotechnical Design | Link |
| GECCO 2024 Workshop: Large Language Models for and with Evolutionary Computation (LLMfwEC) | Link |
| GECCO 2024 Workshop: EGML-EC — 3rd GECCO workshop on Enhancing Generative Machine Learning with Evolutionary Computation (EGML-EC) 2024 | Link |
| GECCO 2024 Tutorial: Using Large Language Models for Evolutionary Search | Tutorial Link, Tutorial Report Link |
| PPSN 2024 Tutorial: Large Language Models as Tools for Metaheuristic Design: Exploring Challenges and Opportunities | Link |
| KDD 2024 Tutorial: NL2Code-Reasoning and Planning with LLM for Code Development | Link, Link |
| ICML 2024 Workshop: AI for Math | Link |
| Event | Link |
|---|---|
| AAAI 2024 Global Competition on Math Problem Solving and Reasoning | Link |
| ICML 2024 Challenges on Automated Math Reasoning | Link |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap | Arxiv, Jan 2024 | [code] | paper |
| A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond | Arxiv, Mar. 2024 | [code] | paper |
| When Large Language Model Meets Optimization | Arxiv, May 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| The Era OF Semantic Decoding | Arxiv, Mar. 2024 | [code] | paper |
| Leveraging Foundational Models for Black-Box Optimization: Benefits, Challenges, and Future Directions | ICML 2024, May 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Hypothesis Search: Inductive Reasoning with Language Models | Arxiv Sep 2023, ICLR 2024 | code | paper |
| ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search | Arxiv Oct 2023, ICLR 2024 | code | paper |
| Algorithm Evolution using Large Language Model | Arxiv Nov 2023 | code | paper |
| Mathematical discoveries from program search with large language models | Nature | code | paper |
| Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model | ICML 2024 (Oral) | code | paper |
| ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution | Arxiv Feb 2024 | code | paper |
| Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs) | code | paper | |
| AutoSAT: Automatically Optimize SAT Solvers via Large Language Models | Arxiv Feb 2024 | code | paper |
| Large Language Models tO Enhance Bayesian Optimization | Arxiv Feb 2024, ICLR 2024 | code | paper |
| On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks | Arxiv Feb 2024 | code | paper |
| How Can LLM Guide RL? A Value-Based Approach | Arxiv Feb 2024 | code | paper |
| Evolve Cost-aware Acquisition Functions Using Large Language Models | PPSN 2024 | code | paper |
| Benchmarking ChatGPT on Algorithmic Reasoning | Arxiv April 2024 | code | paper |
| How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems | Arxiv March 2024 | code | paper |
| LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models | Arxiv April 2024 | code | paper |
| Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems | Arxiv April 2024 | code | paper |
| GLHF: General Learned Evolutionary Algorithm Via Hyper Functions | Arxiv | code | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Large Language Models as Optimizers | Arxiv, Sep 2023 | code | paper |
| Large language model for multi-objective evolutionary optimization | Arxiv, Oct. 2023 | code | paper |
| Large Language Models as Evolutionary Optimizers | Arxiv, Oct. 2023 | [code] | paper |
| Using Large Language Models for Hyperparameter Optimization | NeurIPS 2023 | [code] | paper |
| Large Language Models As Evolution Strategies | Arxiv, Feb. 2024 | [code] | paper |
| Large Language Model-based Evolutionary Optimizer: Reasoning with Elitism | Arxiv, Mar. 2024 | [code] | paper |
| Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization | Arxiv, May 9, 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| L2MAC: LARGE LANGUAGE MODEL AUTOMATIC COMPUTER FOR EXTENSIVE CODE GENERATION | Arxiv Oct 2023, ICLR 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers | Arxiv Sep 2023, ICLR 2024 | [code] | paper |
| PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization | Arxiv Oct 2023, ICLR 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Evolution through Large Models | Arxiv, June 2022 | code | paper |
| Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph | Arxiv, July 2023, ICLR 2024 | [code] | paper |
| Evoprompting: Language models for code-level neural architecture search | NeuIPS 2023 | [code] | paper |
| Eureka: Human-Level Reward Design via Coding Large Language Models | ICLR 2024 | code | paper |
| Language Model Decoding as Direct Metrics Optimization | Arxiv, Oct 2023, ICLR 2024 | [code] | paper |
| Label-free Node Classification on Graphs with Large Language Models (LLMS) | Arxiv, Oct 2023, ICLR 2024 | [code] | paper |
| L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks | GECCO 2024, Jan 2024 | [code] | paper |
| Data-driven Discovery with Large Generative Models | Arxiv, Feb. 2024 | [code] | paper |
| Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network | Arxiv, Feb. 2024 | [code] | paper |
| LLM Guided Evolution-The Automation of Models Advancing Models | Arxiv, Mar. 2024 | [code] | paper |
| Identify Critical Nodes in Complex Network with Large Language Models | Arxiv, Mar. 2024 | [code] | paper |
| Evolving Interpretable Visual Classifiers with Large Language Models | Arxiv, April 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| A Prompt-Engineered Large Language Model | Arxiv, Jan 2024 | [code] | paper |
| LLM-SR: Scientific Equation Discovery via Programming with Large Language Models | Arxiv, April 2024 | [code] | paper |
| Large Language Model Agent as a Mechanical Designer | Arxiv, April 2024 | [code] | paper |
| LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery | Arxiv, May 2024 | [code] | paper |
| Title | Publication with Date | Code | Paper |
|---|---|---|---|
| Large Language Models for Supply Chain Optimization | Arxiv, July 2023 | [code] | paper |
| How Can Large Language Models Help Humans in Design and Manufacturing | Arxiv, July 2023 | [code] | paper |
| LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation | Arxiv, Dec. 2023 | [code] | paper |
| Collection | Link |
|---|---|
| Awesome LLM | Link |
| Foundation Models for Combinatorial Optimization | Link |
| LLM for Planning | Link |
| MOO-ML-Papers | Link |