TopicMerge: A Divide and Conquer Approach to Topic Modeling
Recent advancements in topic modeling have split into two main paths: efficient embedding-based methods that offer scalability but are often outperformed on standard clustering metrics, and Large Language Model (LLM) approaches that achieve state-of-the-art clustering performance but at the cost of…
arXiv - cs.CL (NLP)2 min read