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cs.AI2026
Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport
Rui Wang, Yi Zheng, Dongxin Wang +5
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…
cs.AI2021★ 1 cited
Variational Gaussian Topic Model with Invertible Neural Projections
Rui Wang, Deyu Zhou, Yuxuan Xiong +1
Neural topic models have triggered a surge of interest in extracting topics from text automatically since they avoid the sophisticated derivations in conventional topic models. How…