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

Daria Sokova, Anastasiia Bezobrazova, Constantin Orasan


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://preview.aclanthology.org/ingest-emnlp/2025.tsar-1.21/
DOI:
Bibkey:
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://preview.aclanthology.org/ingest-emnlp/2025.tsar-1.21.pdf