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

Jeonghyun Ko, Gyeongyun Park, Donghoon Lee, Kyunam Lee


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
Note:
Pages:
4211–4228
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.237/
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.findings-naacl.237.pdf