LLM4AD: A Platform for Algorithm Design with Large Language Model
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| Publicat a: | arXiv.org (Dec 23, 2024), p. n/a |
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| Autor principal: | |
| Altres autors: | , , , , , , , |
| Publicat: |
Cornell University Library, arXiv.org
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full text outside of ProQuest |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3148959877 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3148959877 | ||
| 045 | 0 | |b d20241223 | |
| 100 | 1 | |a Liu, Fei | |
| 245 | 1 | |a LLM4AD: A Platform for Algorithm Design with Large Language Model | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 23, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a We introduce LLM4AD, a unified Python platform for algorithm design (AD) with large language models (LLMs). LLM4AD is a generic framework with modularized blocks for search methods, algorithm design tasks, and LLM interface. The platform integrates numerous key methods and supports a wide range of algorithm design tasks across various domains including optimization, machine learning, and scientific discovery. We have also designed a unified evaluation sandbox to ensure a secure and robust assessment of algorithms. Additionally, we have compiled a comprehensive suite of support resources, including tutorials, examples, a user manual, online resources, and a dedicated graphical user interface (GUI) to enhance the usage of LLM4AD. We believe this platform will serve as a valuable tool for fostering future development in the merging research direction of LLM-assisted algorithm design. | |
| 653 | |a Algorithms | ||
| 653 | |a Python | ||
| 653 | |a Graphical user interface | ||
| 653 | |a Large language models | ||
| 653 | |a Machine learning | ||
| 653 | |a Design optimization | ||
| 653 | |a Internet resources | ||
| 700 | 1 | |a Zhang, Rui | |
| 700 | 1 | |a Xie, Zhuoliang | |
| 700 | 1 | |a Sun, Rui | |
| 700 | 1 | |a Li, Kai | |
| 700 | 1 | |a Lin, Xi | |
| 700 | 1 | |a Wang, Zhenkun | |
| 700 | 1 | |a Lu, Zhichao | |
| 700 | 1 | |a Zhang, Qingfu | |
| 773 | 0 | |t arXiv.org |g (Dec 23, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3148959877/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.17287 |