Textonomy: A TnT-LLM-Based Approach for Interpretable Topic Modeling at Scale

Noah Zuchna, Martin Stoll, Jan Blechschmidt


Anthology ID:
2026.icnlsp-1.3
Volume:
Proceedings of the 9th International Conference on Natural Language and Speech Processing (ICNLSP-2026)
Month:
September
Year:
2026
Address:
University of Trento, Trento, Italy
Editors:
Mourad Abbas, Abed Alhakim Freihat
Venue:
ICNLSP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
17–32
Language:
URL:
https://aclanthology.org/2026.icnlsp-1.3/
DOI:
Bibkey:
Cite (ACL):
Noah Zuchna, Martin Stoll, and Jan Blechschmidt. 2026. Textonomy: A TnT-LLM-Based Approach for Interpretable Topic Modeling at Scale. In Proceedings of the 9th International Conference on Natural Language and Speech Processing (ICNLSP-2026), pages 17–32, University of Trento, Trento, Italy. Association for Computational Linguistics.
Cite (Informal):
Textonomy: A TnT-LLM-Based Approach for Interpretable Topic Modeling at Scale (Zuchna et al., ICNLSP 2026)
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PDF:
https://aclanthology.org/2026.icnlsp-1.3.pdf