| How to Protect Copyright Data in Optimization of Large Language Models? T Chu, Z Song, C Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17871 …, 2024 | 15 | 2024 |
| Fine-tune language models to approximate unbiased in-context learning T Chu, Z Song, C Yang arXiv preprint arXiv:2310.03331, 2023 | 8 | 2023 |
| Unmasking transformers: A theoretical approach to data recovery via attention weights Y Deng, Z Song, S Xie, C Yang arXiv preprint arXiv:2310.12462, 2023 | 5 | 2023 |
| A theoretical insight into attack and defense of gradient leakage in transformer C Li, Z Song, W Wang, C Yang arXiv preprint arXiv:2311.13624, 2023 | 2 | 2023 |
| An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent Z Song, C Yang arXiv preprint arXiv:2310.11291, 2023 | 2 | 2023 |
| One Pass Streaming Algorithm for Super Long Token Attention Approximation in Sublinear Space R Addanki, C Li, Z Song, C Yang arXiv preprint arXiv:2311.14652, 2023 | 1 | 2023 |
| Attention is Naturally Sparse with Gaussian Distributed Input Y Deng, Z Song, C Yang arXiv preprint arXiv:2404.02690, 2024 | | 2024 |
| Enhancing Stochastic Gradient Descent: A Unified Framework and Novel Acceleration Methods for Faster Convergence Y Deng, Z Song, C Yang arXiv preprint arXiv:2402.01515, 2024 | | 2024 |
Zhao SongAdobe ResearchZweryfikowany adres z ias.edu
