Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Qiu Jiahao"'
Publikováno v:
网络与信息安全学报, Vol 8, Iss 1, Pp 118-127 (2022)
In the field of digital forensics, how to unlock mobile devices such as phones has always been an urgent problem to overcome. As a special kind of password, pattern lock is widely used in mobile phone screen unlock and software access authorization.
Externí odkaz:
https://doaj.org/article/d22e826ab9344c62a4c2422568a7f6b2
Autor:
Zhong Meiyan, Huang Yuanting, Zeng Bo, Xu Lihui, Zhong Chunsu, Qiu Jiahao, Ye Xunjia, Chen Mingye, Hu Bo, Ouyang Dongyun, He Xianhui
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 64-76 (2021)
Macrophages are critical sentinel cells armed with multiple regulated necrosis pathways, including pyroptosis, apoptosis followed by secondary necrosis, and necroptosis, and are poised to undergo distinct form(s) of necrosis for tackling dangers of p
Externí odkaz:
https://doaj.org/article/f4c2b476ff3b4153be565212837a22e6
Autor:
Sun, Hanshi, Haider, Momin, Zhang, Ruiqi, Yang, Huitao, Qiu, Jiahao, Yin, Ming, Wang, Mengdi, Bartlett, Peter, Zanette, Andrea
The safe and effective deployment of Large Language Models (LLMs) involves a critical step called alignment, which ensures that the model's responses are in accordance with human preferences. Prevalent alignment techniques, such as DPO, PPO and their
Externí odkaz:
http://arxiv.org/abs/2410.20290
Autor:
Qiu, Jiahao, Lu, Yifu, Zeng, Yifan, Guo, Jiacheng, Geng, Jiayi, Wang, Huazheng, Huang, Kaixuan, Wu, Yue, Wang, Mengdi
Inference-time alignment enhances the performance of large language models without requiring additional training or fine-tuning but presents challenges due to balancing computational efficiency with high-quality output. Best-of-N (BoN) sampling, as a
Externí odkaz:
http://arxiv.org/abs/2410.16033
Autor:
Qiu, Jiahao, Ye, Xiangdong
For an abelian group $G$, $\vec{g}=(g_1,\ldots,g_d)\in G^d$ and $\epsilon=(\epsilon(1),\ldots,\epsilon(d))\in \{0,1\}^d$, let $\vec{g}\cdot \epsilon=\prod_{i=1}^{d}g_i^{\epsilon(i)}$. In this paper, it is shown that for a minimal system $(X,G)$ with
Externí odkaz:
http://arxiv.org/abs/2410.01663
Autor:
Chakraborty, Souradip, Qiu, Jiahao, Yuan, Hui, Koppel, Alec, Huang, Furong, Manocha, Dinesh, Bedi, Amrit Singh, Wang, Mengdi
Reinforcement Learning from Human Feedback (RLHF) aligns language models to human preferences by employing a singular reward model derived from preference data. However, such an approach overlooks the rich diversity of human preferences inherent in d
Externí odkaz:
http://arxiv.org/abs/2402.08925
While modern biotechnologies allow synthesizing new proteins and function measurements at scale, efficiently exploring a protein sequence space and engineering it remains a daunting task due to the vast sequence space of any given protein. Protein en
Externí odkaz:
http://arxiv.org/abs/2401.06173
Autor:
Qiu, Jiahao, Yu, Jiaqi
We show that for a minimal system $(X,T)$, the set of saturated points along cubes with respect to its maximal $\infty$-step pro-nilfactor $X_\infty$ has a full measure. As an application, it is shown that if a minimal system $(X,T)$ has no non-trivi
Externí odkaz:
http://arxiv.org/abs/2311.14198
While transferring a pretrained language model, common approaches conventionally attach their task-specific classifiers to the top layer and adapt all the pretrained layers. We investigate whether one could make a task-specific selection on which sub
Externí odkaz:
http://arxiv.org/abs/2210.10041
Autor:
Zhang, Xu, Wang, Kexin, Qiu, Jiahao, Tian, Miao, Guo, Hele, Yang, Shuo-Wang, Lyu, Jing, Xu, Guo Qin
Publikováno v:
In Nano Energy October 2024 129 Part A