@inproceedings{sastre-etal-2026-retuyt,
    title = "{RETUYT}-{INCO} at {BEA} 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for {G}erman",
    author = "Sastre, Ignacio  and
      Remersaro, Ignacio  and
      D{\'i}az, Facundo  and
      De Horta, Nicol{\'a}s  and
      Chiruzzo, Luis  and
      Ros{\'a}, Aiala  and
      G{\'o}ngora, Santiago",
    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-1.91/",
    pages = "1235--1243",
    ISBN = "979-8-89176-409-5",
    abstract = "In this paper, we present the RETUYT-INCO participation at the BEA 2026 shared task ``Rubric-based Short Answer Scoring for German''. Our team participated in track 1 (Unseen answers three-way), track 3 (Unseen answers two-way) and track 4 (Unseen questions two-way). Since these tracks required scoring short student answers using specific rubrics, we looked for ways to handle the changing nature of the task. We created a method called Meta-prompting. In this approach, an LLM creates a custom prompt based on examples from the Train set. This prompt is then used to grade new student answers. Along with this method, we also describe other approaches we used, such as classic machine learning, fine-tuning open-source LLMs, and different prompting techniques. According to the official results, our team placed 6th out of 8 participants in Track 1 with a QWK of 0.729. In Track 3, we secured 4th place out of 9 with a QWK of 0.674, and we also placed 4th out of 8 in Track 4 with a QWK of 0.49."
}