@inproceedings{miyata-etal-2025-ehimenlp,
    title = "{E}hi{M}e{NLP} at {TSAR} 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity",
    author = "Miyata, Rina  and
      Horiguchi, Koki  and
      Kondo, Risa  and
      Fujiwara, Yuki  and
      Kajiwara, Tomoyuki",
    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-1.18/",
    pages = "217--222",
    ISBN = "979-8-89176-176-6",
    abstract = "We introduce the EhiMeNLP submission, which won the TSAR 2025 Shared Task on Readability-Controlled Text Simplification. Our system employed a two-step strategy of candidate generation and reranking. For candidate generation, we simplified the given text into more readable versions by combining multiple large language models with prompts. Then, for reranking, we selected the best candidate by readability-based filtering and ranking based on semantic similarity to the original text."
}