Our papers regarding prompt optimization in LLM have been accepted to the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) as a Findings paper.
- Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, and Shinichi Shirakawa: Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers, Findings of the Association for Computational Linguistics (ACL 2025 Findings), pp. 20799–20817, Vienna, Austria (hybrid), July 27 - August 1, 2025. [DOI] [arXiv] [Code]