LLM-XTM integrates LLM-guided topic refinement with self-consistency uncertainty quantification to improve coherence and alignment in cross-lingual topic models while reducing dependence on bilingual resources and repeated LLM calls.
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LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
LLM-XTM integrates LLM-guided topic refinement with self-consistency uncertainty quantification to improve coherence and alignment in cross-lingual topic models while reducing dependence on bilingual resources and repeated LLM calls.