Reviewer Assignment

Reviewer assignment, the process of matching research papers with suitable reviewers, is crucial for maintaining the quality and integrity of academic publishing. Current research focuses on developing automated systems that leverage various factors like semantic similarity, topic modeling, citation analysis, and reviewer expertise to improve matching accuracy and fairness, often employing techniques such as large language models (LLMs), graph neural networks (GNNs), and optimization algorithms to address issues like data imbalance and manipulation. These advancements aim to alleviate the burden on conference organizers and improve the efficiency and quality of the peer-review process, ultimately benefiting both researchers and the scientific community.