Can LLMs Identify Advisor-Advisee Relationships in Coauthorship Network Based on Publication Metadata?
Identifying advisor–advisee relationships from bibliographic metadata has largely relied on coauthorship network signals. This paper evaluates whether large language models (LLMs) can infer advising relationships from publication metadata alone and whether they can improve on a locally trained probabilistic ranking mod...