Yi-Hang Tsai

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework

2024 · arXiv (Cornell University)

Topic modeling is widely used for uncovering thematic structures within text corpora, yet traditional models often struggle with specificity and coherence in domain-focused applications. Guided approaches, such as SeededLDA and CorEx, incorporate user-provided seed words …