arxiv
PublishedApril 16, 2026 at 4:00 AM
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Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport
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arXiv:2604.12663v1 Announce Type: new Abstract: Existing topic modeling methods, from LDA to recent neural and LLM-based approaches, which focus mainly on statistical coherence, often produce redundant or off-target topics that miss the user's underlying intent. We introduce Human-centric Topic Mode
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Originally published on arxiv ↗