2 papers
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.CL2025
A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling
Shuyu Chang, Rui Wang, Peng Ren +2
Modeling topics effectively in short texts, such as tweets and news snippets, is crucial to capturing rapidly evolving social trends. Existing topic models often struggle to accura…