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News/Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport
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.orgfull article ↗
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Publisher summary· verbatim

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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Discussion
Mentioned models
02
  • 01
    GCTM-OT
  • 02
    LLM
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#topic-modeling#natural-language-processing#artificial-intelligence#human-centric

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Mentioned models
02
  • 01
    GCTM-OT
  • 02
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#topic-modeling#natural-language-processing#artificial-intelligence#human-centric

Related coverage

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