Papers with few-shot topic classification tasks

1 papers
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework (2023.findings-emnlp)

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Challenge: Existing methods for few-shot topic classification are limited due to the volume of information pouring in from the Internet . a new framework is proposed to train a classifier for few shot topics .
Approach: They propose a framework to train a classifier for few-shot topic classification using a customized dataset and a dense retriever model.
Outcome: The proposed framework shows superior performance on few-shot topic classification tasks compared to baselines that use in-context learning .

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