- 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/more-markup/2025.findings-naacl.237/
- DOI:
- 10.18653/v1/2025.findings-naacl.237
- 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)
- PDF:
- https://preview.aclanthology.org/more-markup/2025.findings-naacl.237.pdf