Minh Chu Xuan
Minh Chu Xuan has 2 papers in our library, in 2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Interpretability; often with Dinh Viet Sang, Linh Ngo Van, Trung Le.
OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11619
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksGeneral Social Sciences · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 works
🧭 Topics 3Research subjects and languages the work is about.Interpretability · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Topic modeling · 2 works
Works by year
2020s
Papers
- Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models (2026 · 1 citation)
Dynamic topic models track how themes in timestamped collections appear, change and fade. The authors identify three weaknesses in current approaches. Encoders learn only from bag-of-words counts and ignore knowledge in pre-trained language models. Topics in neighbouring time slices are usually linked one-to-one, so… - LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models (2026)
Cross-lingual topic models try to find themes shared across languages. They depend on limited bilingual resources such as seed dictionaries, document embeddings or parallel corpora, so paired topics often drift apart in meaning. Earlier LLM-assisted methods either query the model for every document, which is costly…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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