Papers with optimizing document features

1 papers
SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification (2025.findings-naacl)

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Challenge: Existing methods focus on optimizing document features, overlooking the potential of high-quality label features to enhance classification performance.
Approach: They propose a multi-label document classification paradigm that utilizes large language models to expand the label content and generate pseudo-samples for the tail categories.
Outcome: The proposed method significantly outperforms state-of-the-art models.

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