@inproceedings{wu-etal-2025-know,
    title = "Know-{AI} at {TSAR} 2025 Shared Task Difficulty-aware Text Simplification System",
    author = "Wu, Yiheng  and
      Katinskaia, Anisia  and
      Hou, Jue  and
      Yangarber, Roman",
    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-1.24/",
    pages = "266--272",
    ISBN = "979-8-89176-176-6",
    abstract = "Text simplification is an active research topic with applications in multiple domains. In a simplification pipeline, assessment of text difficulty plays a crucial role as a quality control mechanism it acts as a critic and guides models to generate text at the difficulty level required by the user. This paper presents our Difficulty-aware Text Simplification System. We evaluate our pipeline using the TSAR shared task dataset and discuss challenges in constructing corpora for training models to assess text difficulty."
}