SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning

Daria Sokova; Anastasiia Bezobrazova; Constantin Orasan

SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning

Daria Sokova, Anastasiia Bezobrazova, Constantin Orasan

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Abstract

This paper summarises the submissions of our team to the TSAR 2025 Shared Task on Readability-Controlled Text Simplification, which aims to create text simplifications balancing reduced linguistic complexity, meaning preservation, and fluency while meeting predefined target readability levels. We tested two different methods for CEFR-controlled simplification a conservative lexical pipeline relying on prompting LLMs to simplify sentences, and a setup employing reinforcement fine-tuning.

Anthology ID:: 2025.tsar-1.21
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:: 242–250
Language:
URL:: https://aclanthology.org/2025.tsar-1.21/
DOI:
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Cite (ACL):: Daria Sokova, Anastasiia Bezobrazova, and Constantin Orasan. 2025. SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning. In Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025), pages 242–250, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning (Sokova et al., TSAR 2025)
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PDF:: https://aclanthology.org/2025.tsar-1.21.pdf

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@inproceedings{sokova-etal-2025-squrel,
    title = "{SQUREL} at {TSAR} 2025 Shared Task {CEFR}-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning",
    author = "Sokova, Daria  and
      Bezobrazova, Anastasiia  and
      Orasan, Constantin",
    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-1.21/",
    pages = "242--250",
    ISBN = "979-8-89176-176-6",
    abstract = "This paper summarises the submissions of our team to the TSAR 2025 Shared Task on Readability-Controlled Text Simplification, which aims to create text simplifications balancing reduced linguistic complexity, meaning preservation, and fluency while meeting predefined target readability levels. We tested two different methods for CEFR-controlled simplification a conservative lexical pipeline relying on prompting LLMs to simplify sentences, and a setup employing reinforcement fine-tuning."
}

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%0 Conference Proceedings
%T SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning
%A Sokova, Daria
%A Bezobrazova, Anastasiia
%A Orasan, Constantin
%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 sokova-etal-2025-squrel
%X This paper summarises the submissions of our team to the TSAR 2025 Shared Task on Readability-Controlled Text Simplification, which aims to create text simplifications balancing reduced linguistic complexity, meaning preservation, and fluency while meeting predefined target readability levels. We tested two different methods for CEFR-controlled simplification a conservative lexical pipeline relying on prompting LLMs to simplify sentences, and a setup employing reinforcement fine-tuning.
%U https://aclanthology.org/2025.tsar-1.21/
%P 242-250

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Markdown (Informal)

[SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning](https://aclanthology.org/2025.tsar-1.21/) (Sokova et al., TSAR 2025)

SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning (Sokova et al., TSAR 2025)

ACL

Daria Sokova, Anastasiia Bezobrazova, and Constantin Orasan. 2025. SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning. In Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025), pages 242–250, Suzhou, China. Association for Computational Linguistics.