Improving scholarship accessibility with reinforcement learning

Introduction. A vast amount of scholarly work is published daily, yet much of it remains inaccessible to the general public due to dense jargon and complex language. We introduce a reinforcement learning approach that fine-tunes a language model to rewrite scholarly abstracts into more comprehensib...

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Autors principals:	Haining Wang, Jason Clark, Hannah McKelvey, Leila Sterman, Gao Zheng, Zuoyu Tian, Xiaozhong Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	University of Borås 2025-03-01
Col·lecció:	Information Research: An International Electronic Journal
Matèries:	Accessible language Language model Text simplification Reinforcement learning Proximal Policy Optimization Open science
Accés en línia:	https://publicera.kb.se/ir/article/view/47530
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