RADS-PDD: Reproducibility-aware dynamic similarity-based pre-training data detection against LLMs.
- DOI
- 10.1016/j.neunet.2026.109393
- Published
- 2027 Jan
- 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.2026.109393,
title = {RADS-PDD: Reproducibility-aware dynamic similarity-based pre-training data detection against LLMs.},
author = {Fan X and Ryoto M and Mo F and Chen C and Matsumoto T and Kido F and Yamana H},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109393},
url = {https://doi.org/10.1016/j.neunet.2026.109393}
}RIS
TY - JOUR TI - RADS-PDD: Reproducibility-aware dynamic similarity-based pre-training data detection against LLMs. AU - Fan X AU - Ryoto M AU - Mo F AU - Chen C AU - Matsumoto T AU - Kido F AU - Yamana H PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109393 UR - https://doi.org/10.1016/j.neunet.2026.109393 ER -
APA
X, F., M, R., F, M., C, C., T, M., F, K., & H, Y. (2027). RADS-PDD: Reproducibility-aware dynamic similarity-based pre-training data detection against LLMs.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109393
Source records
- pubmed · retrieved 2026-09-25T19:42:02.997Z