AI RESEARCH
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
arXiv CS.CL
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ArXi:2605.03299v1 Announce Type: new Cross-lingual topic modeling aims to discover shared semantic structures across languages, yet existing models depend on sparse bilingual resources and often yield incoherent or weakly aligned topics. Recent LLM-based refinements improve interpretability but are costly, document-level, and prone to hallucination, with prior white-box approaches requiring inaccessible token probabilities.