LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models 事件

LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models arXiv:2605.03299v2 Announce Type: replace Abstract: 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 toke