Zobrazeno 1 - 10
of 43 907
pro vyhledávání: '"Zhang yue"'
Autor:
Trewin, Ray1
Publikováno v:
Asian-Pacific Economic Literature. Nov2017, Vol. 31 Issue 2, p174-176. 3p.
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark
Autor:
Jiang, Yudong, Xu, Baohan, Yang, Siqian, Yin, Mingyu, Liu, Jing, Xu, Chao, Wang, Siqi, Wu, Yidi, Zhu, Bingwen, Xu, Jixuan, Zhang, Yue, Hou, Jinlong, Sun, Huyang
Animation has gained significant interest in the recent film and TV industry. Despite the success of advanced video generation models like Sora, Kling, and CogVideoX in generating natural videos, they lack the same effectiveness in handling animation
Externí odkaz:
http://arxiv.org/abs/2412.10255
Although the Cox proportional hazards model is well established and extensively used in the analysis of survival data, the proportional hazards (PH) assumption may not always hold in practical scenarios. The semiparametric transformation model extend
Externí odkaz:
http://arxiv.org/abs/2412.07611
In recent years, non-equilibrium flows have gained significant attention in aerospace engineering and micro-electro-mechanical systems. The unified gas-kinetic scheme (UGKS) follows the methodology of direct modeling to couple particle collisions and
Externí odkaz:
http://arxiv.org/abs/2412.06546
Autor:
Wang, Yunkun, Zhang, Yue, Qin, Zhen, Zhi, Chen, Li, Binhua, Huang, Fei, Li, Yongbin, Deng, Shuiguang
Through training on publicly available source code libraries, large language models (LLMs) can invoke multiple encapsulated APIs to solve complex programming problems. However, existing models inherently cannot generalize to use APIs that are unseen
Externí odkaz:
http://arxiv.org/abs/2412.05366
With increasing numbers of vulnerabilities exposed on the internet, autonomous penetration testing (pentesting) has emerged as an emerging research area, while reinforcement learning (RL) is a natural fit for studying autonomous pentesting. Previous
Externí odkaz:
http://arxiv.org/abs/2412.04078
In the domain of large language models, considerable advancements have been attained in multimodal large language models and explainability research, propelled by the continuous technological progress and innovation. Nonetheless, security and privacy
Externí odkaz:
http://arxiv.org/abs/2411.16809
This study presents a comprehensive evaluation of GPT-4's translation capabilities compared to human translators of varying expertise levels. Through systematic human evaluation using the MQM schema, we assess translations across three language pairs
Externí odkaz:
http://arxiv.org/abs/2411.13775
Autor:
Li, Kun, Zhuang, Shichao, Zhang, Yue, Xu, Minghui, Wang, Ruoxi, Xu, Kaidi, Fu, Xinwen, Cheng, Xiuzhen
Large Language Models (LLMs) excel in diverse tasks such as text generation, data analysis, and software development, making them indispensable across domains like education, business, and creative industries. However, the rapid proliferation of LLMs
Externí odkaz:
http://arxiv.org/abs/2411.10683
IoT platforms, particularly smart home platforms providing significant convenience to people's lives such as Apple HomeKit and Samsung SmartThings, allow users to create automation rules through trigger-action programming. However, some users may lac
Externí odkaz:
http://arxiv.org/abs/2411.10665