EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity

Rina Miyata; Koki Horiguchi; Risa Kondo; Yuki Fujiwara; Tomoyuki Kajiwara

EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity

Rina Miyata, Koki Horiguchi, Risa Kondo, Yuki Fujiwara, Tomoyuki Kajiwara

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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.

Anthology ID:: 2025.tsar-1.18
Volume:: Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Matthew Shardlow, Fernando Alva-Manchego, Kai North, Regina Stodden, Horacio Saggion, Nouran Khallaf, Akio Hayakawa
Venues:: TSAR | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 217–222
Language:
URL:: https://aclanthology.org/2025.tsar-1.18/
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Cite (ACL):: Rina Miyata, Koki Horiguchi, Risa Kondo, Yuki Fujiwara, and Tomoyuki Kajiwara. 2025. EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity. In Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025), pages 217–222, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity (Miyata et al., TSAR 2025)
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PDF:: https://aclanthology.org/2025.tsar-1.18.pdf

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@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://aclanthology.org/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."
}

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%0 Conference Proceedings
%T EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity
%A Miyata, Rina
%A Horiguchi, Koki
%A Kondo, Risa
%A Fujiwara, Yuki
%A Kajiwara, Tomoyuki
%Y Shardlow, Matthew
%Y Alva-Manchego, Fernando
%Y North, Kai
%Y Stodden, Regina
%Y Saggion, Horacio
%Y Khallaf, Nouran
%Y Hayakawa, Akio
%S Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-176-6
%F miyata-etal-2025-ehimenlp
%X 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.
%U https://aclanthology.org/2025.tsar-1.18/
%P 217-222

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Markdown (Informal)

[EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity](https://aclanthology.org/2025.tsar-1.18/) (Miyata et al., TSAR 2025)

EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity (Miyata et al., TSAR 2025)

ACL

Rina Miyata, Koki Horiguchi, Risa Kondo, Yuki Fujiwara, and Tomoyuki Kajiwara. 2025. EhiMeNLP at TSAR 2025 Shared Task Candidate Generation via Iterative Simplification and Reranking by Readability and Semantic Similarity. In Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025), pages 217–222, Suzhou, China. Association for Computational Linguistics.