ClusterFusion: Hybrid Clustering with Embedding Guidance and LLM Adaptation
ClusterFusion is a hybrid framework that uses Large Language Models (LLMs) as its core clustering mechanism, guided by simple embedding methods. It achieves state-of-the-art results on standard and specialized text clustering tasks by treating the LLM as the central reasoning engine for topic summarization and assignment, allowing direct injection of domain knowledge.