FeRG-LLM : Feature Engineering by Reason Generation Large Language Models

Jeonghyun Ko; Gyeongyun Park; Donghoon Lee; Kyunam Lee

doi:10.18653/v1/2025.findings-naacl.237

FeRG-LLM : Feature Engineering by Reason Generation Large Language Models

Jeonghyun Ko, Gyeongyun Park, Donghoon Lee, Kyunam Lee

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Anthology ID:: 2025.findings-naacl.237
Volume:: Findings of the Association for Computational Linguistics: NAACL 2025
Month:: April
Year:: 2025
Address:: Albuquerque, New Mexico
Editors:: Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
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Pages:: 4211–4228
Language:
URL:: https://aclanthology.org/2025.findings-naacl.237/
DOI:: 10.18653/v1/2025.findings-naacl.237
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Cite (ACL):: Jeonghyun Ko, Gyeongyun Park, Donghoon Lee, and Kyunam Lee. 2025. FeRG-LLM : Feature Engineering by Reason Generation Large Language Models. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 4211–4228, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):: FeRG-LLM : Feature Engineering by Reason Generation Large Language Models (Ko et al., Findings 2025)
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PDF:: https://aclanthology.org/2025.findings-naacl.237.pdf

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@inproceedings{ko-etal-2025-ferg,
    title = "{F}e{RG}-{LLM} : Feature Engineering by Reason Generation Large Language Models",
    author = "Ko, Jeonghyun  and
      Park, Gyeongyun  and
      Lee, Donghoon  and
      Lee, Kyunam",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2025",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-naacl.237/",
    doi = "10.18653/v1/2025.findings-naacl.237",
    pages = "4211--4228",
    ISBN = "979-8-89176-195-7"
}

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%0 Conference Proceedings
%T FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
%A Ko, Jeonghyun
%A Park, Gyeongyun
%A Lee, Donghoon
%A Lee, Kyunam
%Y Chiruzzo, Luis
%Y Ritter, Alan
%Y Wang, Lu
%S Findings of the Association for Computational Linguistics: NAACL 2025
%D 2025
%8 April
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-195-7
%F ko-etal-2025-ferg
%R 10.18653/v1/2025.findings-naacl.237
%U https://aclanthology.org/2025.findings-naacl.237/
%U https://doi.org/10.18653/v1/2025.findings-naacl.237
%P 4211-4228

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Markdown (Informal)

[FeRG-LLM : Feature Engineering by Reason Generation Large Language Models](https://aclanthology.org/2025.findings-naacl.237/) (Ko et al., Findings 2025)

FeRG-LLM : Feature Engineering by Reason Generation Large Language Models (Ko et al., Findings 2025)

ACL

Jeonghyun Ko, Gyeongyun Park, Donghoon Lee, and Kyunam Lee. 2025. FeRG-LLM : Feature Engineering by Reason Generation Large Language Models. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 4211–4228, Albuquerque, New Mexico. Association for Computational Linguistics.