A recursive k-means clustering pipeline that asks an LLM to summarize each cluster at every level, with a demonstration on 20 Newsgroups.
Language models are few-shot learners
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HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization
A recursive k-means clustering pipeline that asks an LLM to summarize each cluster at every level, with a demonstration on 20 Newsgroups.