@inproceedings{azim-etal-2025-autodspy,
    title = "{A}uto{DSP}y: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models",
    author = "Azim, Nafew  and
      Alam, Abrar Ur  and
      Omar, Hasan Bin  and
      Jami, Abdullah Mohammad Muntasir Adnan  and
      Ahad, Jawad Ibn  and
      Kabir, Muhammad Rafsan  and
      Hossain, Md. Ismail  and
      Rahman, Fuad  and
      Amin, Mohammad Ruhul  and
      Rahman, Shafin  and
      Mohammed, Nabeel",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.192/",
    pages = "2881--2896",
    ISBN = "979-8-89176-333-3"
}