Papers by Luyan Wang

1 papers
Generalized Category Discovery with Large Language Models in the Loop (2024.findings-acl)

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Challenge: Generalized Category Discovery (GCD) is a crucial task that aims to recognize both known and novel categories from a set of unlabeled data.
Approach: They propose a framework that introduces Large Language Models into the training loop to generate category names without human effort.
Outcome: The proposed framework outperforms SOTA models on three benchmark datasets and generates accurate category names for the discovered clusters.

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