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...
Saved in:
| Main Authors: | Haining Wang, Jason Clark, Hannah McKelvey, Leila Sterman, Gao Zheng, Zuoyu Tian, Xiaozhong Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Borås
2025-03-01
|
| Series: | Information Research: An International Electronic Journal |
| Subjects: | |
| Online Access: | https://publicera.kb.se/ir/article/view/47530 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence and natural language processing for easy-to-read texts
by: Horacio Saggion
Published: (2024-12-01) -
Fine-Tuning Large Language Models for Kazakh Text Simplification
by: Alymzhan Toleu, et al.
Published: (2025-07-01) -
Komplexe Sachverhalte erfolgreich kommunizieren: eine Studie zur vereinfachten Darstellung des Themas Wasserstoff im deutschen Energiewendediskurs, mit besonderem Blick auf Leichte Sprache und Multimodalität
by: Iris Jammernegg
Published: (2025-08-01) -
A Novel Spanish Dataset for Financial Education Text Simplification Targeting Visually Impaired Individuals
by: Nelson Perez-Rojas, et al.
Published: (2025-01-01) -
Vom Drehbuch zur Einfachen Sprache – Intralingualer Transfer der Emotionalität am Beispiel der Tragikomödie „Good Bye, Lenin!“
by: Pavlína Soušková
Published: (2025-06-01)