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2025 EMNLP EMNLP 2025

GRIPF at TSAR 2025 Shared Task Towards controlled CEFR level simplification with the help of inter-model interactions

Abstract

AbstractIn this contribution to the CEFR level simplification TSAR 2025 Shared Task, we propose two systems, EZ-SCALAR and SAGA, that implement two differing approaches to prompting LLMs for proficiency-adapted simplification. Our results place us in the middle of the participating teams, and reveal that using external lexical resources to guide simplification improves overall results.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

David Alfter, Sebastian Gombert

Topics

Artificial Intelligence > Core AI > Foundation Models Artificial Intelligence > Learning Paradigms > Transfer Learning Natural Language Processing > Generation > Text Generation Artificial Intelligence > Core AI > Large Language Models Machine Learning > Learning Types > Prompt Engineering

Keywords

text simplification lexical resource controlled generation large language model proficiency adaptation
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