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News/DSL-Topic: Improving Topic Modeling by Distilling Soft Labelsfrom Language Models
arxiv
PublishedJune 4, 2026 at 4:00 AM

DSL-Topic: Improving Topic Modeling by Distilling Soft Labelsfrom Language Models

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arXiv:2602.17907v2 Announce Type: replace-cross Abstract: Traditional neural topic models are typically optimized by reconstructing the document's Bag-of-Words (BoW) representations, overlooking contextual information and struggling with data sparsity. In this work, we introduce a novel topic model

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