LLMs Improve Unsupervised Text Clustering with Reasoning-Based Refinement
Researchers propose a framework using LLMs to validate and restructure unsupervised text clusters, improving coherence and reducing redundancy. The method leverages LLMs as semantic judges rather than embedding generators.