Rethinking Topic Modeling With Information Bottleneck Principle
- DOI
- 10.1109/tnnls.2025.3644425
- Published
- 2026-07
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2025.3644425,
title = {Rethinking Topic Modeling With Information Bottleneck Principle},
author = {Zhibin Duan and Xinyue Hu and Bo Chen and Chaojie Wang and Xuefei Cao and Fei Meng and Mingyuan Zhou},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2025.3644425},
url = {https://doi.org/10.1109/tnnls.2025.3644425}
}RIS
TY - JOUR TI - Rethinking Topic Modeling With Information Bottleneck Principle AU - Zhibin Duan AU - Xinyue Hu AU - Bo Chen AU - Chaojie Wang AU - Xuefei Cao AU - Fei Meng AU - Mingyuan Zhou PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2025.3644425 UR - https://doi.org/10.1109/tnnls.2025.3644425 ER -
APA
Duan, Z., Hu, X., Chen, B., Wang, C., Cao, X., Meng, F., & Zhou, M. (2026). Rethinking Topic Modeling With Information Bottleneck Principle. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2025.3644425
Source records
- crossref · retrieved 2026-11-05T15:14:03.769Z