Zobrazeno 1 - 10
of 1 004
pro vyhledávání: '"Zhang, YuanBo"'
Autor:
Zhang, Yanxiang, Zhang, Yuanbo, Sun, Haicheng, Wang, Yun, Dou, Billy, Sivek, Gary, Zhai, Shumin
Gboard Decoder produces suggestions by looking for paths that best match input touch points on the context aware search space, which is backed by the language Finite State Transducers (FST). The language FST is currently an N-gram language model (LM)
Externí odkaz:
http://arxiv.org/abs/2410.15575
Autor:
Liu, Renjie, Zhang, Yanxiang, Zhu, Yun, Sun, Haicheng, Zhang, Yuanbo, Huang, Michael Xuelin, Cai, Shanqing, Meng, Lei, Zhai, Shumin
The impressive capabilities in Large Language Models (LLMs) provide a powerful approach to reimagine users' typing experience. This paper demonstrates Proofread, a novel Gboard feature powered by a server-side LLM in Gboard, enabling seamless sentenc
Externí odkaz:
http://arxiv.org/abs/2406.04523
Pre-training on public data is an effective method to improve the performance for federated learning (FL) with differential privacy (DP). This paper investigates how large language models (LLMs) trained on public data can improve the quality of pre-t
Externí odkaz:
http://arxiv.org/abs/2404.04360
Autor:
Liu, Yaxin, Zhu, Bingbing, Jiang, Shicheng, Huang, Shenyang, Luo, Mingyan, Zhang, Sheng, Yan, Hugen, Zhang, Yuanbo, Lu, Ruifeng, Tao, Zhensheng
Floquet engineering, while a powerful tool for ultrafast quantum-state manipulation, faces challenges under strong-field conditions, as recent high harmonic generation studies unveil exceptionally short dephasing times. In this study, using time- and
Externí odkaz:
http://arxiv.org/abs/2311.10286
This white paper describes recent advances in Gboard(Google Keyboard)'s use of federated learning, DP-Follow-the-Regularized-Leader (DP-FTRL) algorithm, and secure aggregation techniques to train machine learning (ML) models for suggestion, predictio
Externí odkaz:
http://arxiv.org/abs/2306.14793
Autor:
Xu, Zheng, Zhang, Yanxiang, Andrew, Galen, Choquette-Choo, Christopher A., Kairouz, Peter, McMahan, H. Brendan, Rosenstock, Jesse, Zhang, Yuanbo
We train language models (LMs) with federated learning (FL) and differential privacy (DP) in the Google Keyboard (Gboard). We apply the DP-Follow-the-Regularized-Leader (DP-FTRL)~\citep{kairouz21b} algorithm to achieve meaningfully formal DP guarante
Externí odkaz:
http://arxiv.org/abs/2305.18465
Autor:
Chen, Guorui, Zhang, Ya-Hui, Sharpe, Aaron, Zhang, Zuocheng, Wang, Shaoxin, Jiang, Lili, Lyu, Bosai, Li, Hongyuan, Watanabe, Kenji, Taniguchi, Takashi, Shi, Zhiwen, Goldhaber-Gordon, David, Zhang, Yuanbo, Wang, Feng
Wigner crystals are predicted as the crystallization of the dilute electron gas moving in a uniform background when the electron-electron Coulomb energy dominates the kinetic energy. The Wigner crystal has previously been observed in the ultraclean t
Externí odkaz:
http://arxiv.org/abs/2305.08387
Autor:
Tian, Ning, Huang, Zhe, Jang, Bo Gyu, Guo, Shuaifei, Yan, Ya-Jun, Gao, Jingjing, Yu, Yijun, Hwang, Jinwoong, Wang, Meixiao, Luo, Xuan, Sun, Yu Ping, Liu, Zhongkai, Feng, Dong-Lai, Chen, Xianhui, Mo, Sung-Kwan, Kim, Minjae, Son, Young-Woo, Shen, Dawei, Ruan, Wei, Zhang, Yuanbo
When electron-electron interaction dominates over other electronic energy scales, exotic, collective phenomena often emerge out of seemingly ordinary matter. The strongly correlated phenomena, such as quantum spin liquid and unconventional supercondu
Externí odkaz:
http://arxiv.org/abs/2211.08114
Publikováno v:
In Materials Today Communications December 2024 41
Publikováno v:
In Ocean Engineering 15 November 2024 312 Part 1