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WILLM: A System for Academic Writing Improvement basedon Large Language Models

August 22nd, 2023

Writing is an essential skill in both academic and professional contexts, that allows individuals to convey their thoughts, ideas, and information in a clear and concise manner. However, it can still be challenging to write effectively, efficiently, and accurately, especially for non-native speakers of the language.

Thesis Type
  • Bachelor
Status
Finished
Presentation room
Seminar room I5 6202
Supervisor(s)
Stefan Decker
Advisor(s)
Yongli Mou
Fateme Fathi
Contact
mou@dbis.rwth-aachen.de
fathi@dbis.rwth-aachen.de

The aim of this thesis is to design and develop a Chrome extension that utilizes advanced language models to assist in writing improvement. This tool will strive to provide instant feedback on grammar, syntax, punctuation, and style, enhancing the writing proficiency of users in a variety of contexts.

To evaluate the effectiveness of the proposed method and developed system, the student should design and develop a set of evaluation methods to demonstrate that the writing skill is improved from different perspectives by using the Chrome extension.

If you are interested in this thesis, do not hesitate to contact us via mou@dbis.rwth-aachen.de


Prerequisites:

Knowledge in Large Language Models and Gamification in Education
Programming language – HTML, JavaScript, and CSS, and Python