MSW-NTM: A Spherical Wasserstein Autoencoder for Multimodal Neural Topic Modeling with LLM-Guided Topic Refinement.
Chris Buckley|Dayu Guo|Zhiwen Luo|Ryen W. White|Wentao Fan|Nizar Bouguila|Ryen W. White|Wentao Fan
| Anthology ID: | DBLP:conf/sigir/GuoLBF26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3759-3763 |
| URL: | https://doi.org/10.1145/3805712.3809878 |
| DOI: | https://doi.org/10.1145/3805712.3809878 |
| DBLP: | conf/sigir/GuoLBF26 |
| BibTeX: |
@inproceedings{buckley-2026-mswntm,
author = {Chris Buckley and
Dayu Guo and
Zhiwen Luo and
Ryen W. White and
Wentao Fan and
Nizar Bouguila and
Ryen W. White and
Wentao Fan},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{MSW-NTM: A Spherical Wasserstein Autoencoder for Multimodal Neural Topic Modeling with LLM-Guided Topic Refinement}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3759--3763},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809878},
doi = {https://doi.org/10.1145/3805712.3809878}
}