Cross-model diffusion: Mitigating hallucination in large language models for rumor detection.
- DOI
- 10.1016/j.neunet.2026.109226
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109226,
title = {Cross-model diffusion: Mitigating hallucination in large language models for rumor detection.},
author = {Wu C and Yang K and Hui Y and Xiong P and Shi Z and Lin Z and Zhang Y and Wang S},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109226},
url = {https://doi.org/10.1016/j.neunet.2026.109226}
}RIS
TY - JOUR TI - Cross-model diffusion: Mitigating hallucination in large language models for rumor detection. AU - Wu C AU - Yang K AU - Hui Y AU - Xiong P AU - Shi Z AU - Lin Z AU - Zhang Y AU - Wang S PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109226 UR - https://doi.org/10.1016/j.neunet.2026.109226 ER -
APA
C, W., K, Y., Y, H., P, X., Z, S., Z, L., Y, Z., & S, W. (2026). Cross-model diffusion: Mitigating hallucination in large language models for rumor detection.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109226
Source records
- pubmed · retrieved 2026-09-26T08:18:01.387Z