@inproceedings{beigman-klebanov-etal-2026-data,
    title = "Data-lean fine-tuning of models for evaluating teacher performance in a {G}en{AI}-led elicitation simulation",
    author = "Beigman Klebanov, Beata  and
      Hoang, Andrew  and
      Mikeska, Jamie  and
      Longwill, Benny  and
      Kashyap, Sanjna  and
      Halder, Shreyashi  and
      Bhatia, Aakanksha",
    editor = "Kochmar, Ekaterina  and
      Alhafni, Bashar  and
      Bann{\`o}, Stefano  and
      Bexte, Marie  and
      Burstein, Jill  and
      Horbach, Andrea  and
      Laarmann-Quante, Ronja  and
      Tack, Anais  and
      Yaneva, Victoria  and
      Yuan, Zheng",
    booktitle = "Proceedings of the 21st Workshop on Innovative Use of {NLP} for Building Educational Applications ({BEA} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.bea-1.38/",
    pages = "546--561",
    ISBN = "979-8-89176-409-5"
}