@misc{indiciae1ce767b43835,
  title = {GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning},
  author = {Agrawal, Lakshya A. [University of California, Berkeley, CA (United States)] and Tan, Shangyin [University of California, Berkeley, CA (United States)] and Soylu, Dilara [Stanford Univ., CA (United States)] and Ziems, Noah [University of Notre Dame, IN (United States)] and Khare, Rishi [University of California, Berkeley, CA (United States)] and Opsahl-Ong, Krista [Databricks, San Francisco, CA (United States)] and Singhvi, Arnav [Stanford Univ., CA (United States); Databricks, San Francisco, CA (United States)] and Shandilya, Herumb [Stanford Univ., CA (United States)] and Ryan, Michael J. [Stanford Univ., CA (United States)] and Jiang, Meng [University of Notre Dame, IN (United States)] and Potts, Christopher [Stanford Univ., CA (United States)] and Sen, Koushik [University of California, Berkeley, CA (United States)] and Dimakis, Alexandros G. [University of California, Berkeley, CA (United States); Bespoke Labs, Santa Clara, CA (United States)] and Stoica, Ion [University of California, Berkeley, CA (United States)] and Klein, Dan [University of California, Berkeley, CA (United States)] and Zaharia, Matei [Databricks, San Francisco, CA (United States)] and Khattab, Omar [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)]},
  year = {2025},
  doi = {10.48550/arxiv.2507.19457},
  url = {https://www.osti.gov/biblio/3025768},
  note = {Source identifier: 3025768}
}