C2: Scalable Auto-Feedback for LLM-based Chart Generation
Woosung Koh, Janghan Yoon, MinHyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee
- Anthology ID:
- 2025.naacl-long.232
- Volume:
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Month:
- April
- Year:
- 2025
- Address:
- Albuquerque, New Mexico
- Editors:
- Luis Chiruzzo, Alan Ritter, Lu Wang
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4525–4566
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.232/
- DOI:
- Cite (ACL):
- Woosung Koh, Janghan Yoon, MinHyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, and Bongshin Lee. 2025. C2: Scalable Auto-Feedback for LLM-based Chart Generation. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 4525–4566, Albuquerque, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- C2: Scalable Auto-Feedback for LLM-based Chart Generation (Koh et al., NAACL 2025)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.232.pdf