Foundation models for topic modeling: a case study

Han ZENG; Jia-Ming SUN; Chun-Shu LI; Zhuying LI; Tong WEI

doi:10.1007/s11704-024-40069-7

Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (2) : 192325 DOI: 10.1007/s11704-024-40069-7

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Foundation models for topic modeling: a case study

Han ZENG ¹^,²
, Jia-Ming SUN ¹^,²
, Chun-Shu LI ¹^,²
, Zhuying LI ¹^,²
, Tong WEI ¹^,²^,^†

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Han ZENG, Jia-Ming SUN, Chun-Shu LI, Zhuying LI, Tong WEI. Foundation models for topic modeling: a case study. Front. Comput. Sci., 2025, 19(2): 192325 DOI:10.1007/s11704-024-40069-7

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References

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[1]	Pham C M, Hoyle A, Sun S, Iyyer M. Topicgpt: a prompt-based topic modeling framework. 2023, arXiv preprint arXiv: 2311.01449

[2]	Bai J, Bai S, Chu Y, , . Qwen technical report. 2023, arXiv preprint arXiv: 2309.16609

[3]	Li Z, Zhang X, Zhang Y, Long D, Xie P, Zhang M. Towards general text embeddings with multi-stage contrastive learning. 2023, arXiv preprint arXiv: 2308.03281

[4]	McInnes L, Healy J, Saul N, Grossberger L. Umap: uniform manifold approximation and projection. The Journal of Open Source Software, 2018, 3( 29): 861