Authors:
Vaios Stergiopoulos
1
;
Michael Vassilakopoulos
1
;
Eleni Tousidou
1
;
Spyridon Kavvathas
1
and
Antonio Corral
2
Affiliations:
1
Data Structuring & Eng. Lab., Dept. of Electrical & Computer Engineering, University of Thessaly, Volos, Greece
;
2
Dept. of Informatics, University of Almeria, Spain
Keyword(s):
Conference Management System, Large Language Models, Recommendation System, Paper-Reviewer Matching, Reviewer Assignment Problem.
Abstract:
One of the most important tasks of a conference organizer is to assign reviewers to papers. The peer review process of the submitted papers is a crucial step in determining the conference agenda, quality, and success. However, this is not an easy task; large conferences often assign hundreds of papers to hundreds of reviewers, making it impossible for a single person to complete the task due to hard time constraints. We propose a Conference Management System that embodies a Large Language Model (LLM) in its core. The LLM is utilized as a Recommendation System which applies Content-based Filtering and automates the task of reviewers-to-papers assignment for a conference. The LLM we select to use is the Bidirectional Encoder Representations from Transformers (BERT), in two specific variants, BERT-tiny and BERT-large.