Papers by Chun Dong

1 papers
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling (2024.lrec-main)

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Challenge: Topic modelling has found extensive use in automatically detecting significant topics within a corpus of documents, but there are certain drawbacks.
Approach: They propose a framework that prompts large language models to generate topics from a given set of documents and establish evaluation protocols to assess the clustering efficacy of LLMs.
Outcome: The proposed model generates relevant topic titles and adheres to human guidelines to refine and merge topics.

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