AI RESEARCH
DSL-Topic: Improving Topic Modeling by Distilling Soft Labelsfrom Language Models
arXiv CS.AI
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ArXi:2602.17907v2 Announce Type: replace-cross 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