Shi Fu, Yingjie Wang, Yuzhu Chen, Li Shen 0008, Dacheng Tao. Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training. In Danielle Belgrave, Cheng Zhang 0005, Laura N. Montoya, Hsuan-Tien Lin, Razvan Pascanu, Piotr Koniusz, Marzyeh Ghassemi, Nancy Chen, Iván Vladimir Meza Ruíz, Arturo Loaiza-Bonilla, editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025. 2025. [doi]
@inproceedings{FuWCST25,
title = {Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training},
author = {Shi Fu and Yingjie Wang and Yuzhu Chen and Li Shen 0008 and Dacheng Tao},
year = {2025},
url = {http://papers.nips.cc/paper_files/paper/2025/hash/3380e8116452e0efbf36f35d95e88c94-Abstract-Conference.html},
researchr = {https://researchr.org/publication/FuWCST25},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
editor = {Danielle Belgrave and Cheng Zhang 0005 and Laura N. Montoya and Hsuan-Tien Lin and Razvan Pascanu and Piotr Koniusz and Marzyeh Ghassemi and Nancy Chen and Iván Vladimir Meza Ruíz and Arturo Loaiza-Bonilla},
}