@inproceedings{dinc-etal-2025-itu,
    title = "{ITU} {NLP} at {TSAR} 2025 Shared Task A Three-Stage Prompting Approach for {CEFR}-Oriented Text Simplification",
    author = {Din{\c{c}}, Kutay Arda  and
      Bekta{\c{s}}, Fatih  and
      Eryi{\u{g}}it, G{\"u}l{\c{s}}en},
    editor = "Shardlow, Matthew  and
      Alva-Manchego, Fernando  and
      North, Kai  and
      Stodden, Regina  and
      Saggion, Horacio  and
      Khallaf, Nouran  and
      Hayakawa, Akio",
    booktitle = "Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.tsar-1.11/",
    pages = "149--154",
    ISBN = "979-8-89176-176-6",
    abstract = "Automatic Text Simplification (TS) makes complex texts more accessible but often lacks control over target readability levels. We propose a lightweight, prompt-based approach to English TS that explicitly aligns outputs with CEFR proficiency standards. Our method employs a three-stage pipeline, guided by rule-informed prompts inspired by expert strategies. In the TSAR 2025 Shared Task, our system achieved competitive performance, with stronger results at B1 level and challenges at A2 level due to over-simplification. These findings highlight the promise of prompt-based CEFR-oriented simplification and the need for more flexible constraint design."
}