@inproceedings{elbeltagui-etal-2026-rasende,
    title = "Rasende Rakete at {S}em{E}val-2026 Task 6: {LLM}-First Approach with Iterative Prompt Repair for Classifying Evasion in Political Interviews",
    author = {Elbeltagui, Omar  and
      Knittel, Nils  and
      S{\"u}{\ss}, Leonie  and
      Y{\i}ld{\i}r{\i}r, Umut  and
      Zhai, Qiyan  and
      Kolli, Shaghayegh  and
      Diesner, Jana},
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.280/",
    pages = "2216--2227",
    ISBN = "979-8-89176-414-9",
    abstract = "We describe our system for SemEval-2026 Task 6 (CLARITY), which addresses automatic detection of evasive responses in political interviews. We adopt an LLM-first approach built around two core contributions: (i) an iterative prompt repair loop that diagnoses classification errors on concrete failure examples and applies prompt revisions and (ii) a configurable end-to-end Java Pipeline that supports multiple LLM providers, strategies, and systematic experimentation."
}