Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Liang, Jiafeng"'
Autor:
Liang, Jiafeng, Jiang, Shixin, Wang, Zekun, Pan, Haojie, Chen, Zerui, Chu, Zheng, Liu, Ming, Fu, Ruiji, Wang, Zhongyuan, Qin, Bing
There are substantial instructional videos on the Internet, which provide us tutorials for completing various tasks. Existing instructional video datasets only focus on specific steps at the video level, lacking experiential guidelines at the task le
Externí odkaz:
http://arxiv.org/abs/2406.18227
The formulaic alphas are mathematical formulas that transform raw stock data into indicated signals. In the industry, a collection of formulaic alphas is combined to enhance modeling accuracy. Existing alpha mining only employs the neural network age
Externí odkaz:
http://arxiv.org/abs/2402.07080
Autor:
Lv, Yaojia, Pan, Haojie, Wang, Zekun, Liang, Jiafeng, Liu, Yuanxing, Fu, Ruiji, Liu, Ming, Wang, Zhongyuan, Qin, Bing
Cognitive dynamics are pivotal to advance human understanding of the world. Recent advancements in large language models (LLMs) reveal their potential for cognitive simulation. However, these LLM-based cognitive studies primarily focus on static mode
Externí odkaz:
http://arxiv.org/abs/2401.08438
The facts and time in the document are intricately intertwined, making temporal reasoning over documents challenging. Previous work models time implicitly, making it difficult to handle such complex relationships. To address this issue, we propose MT
Externí odkaz:
http://arxiv.org/abs/2311.04816
Autor:
Wang, Zekun, Chen, Jingchang, Zhou, Wangchunshu, Zhu, Haichao, Liang, Jiafeng, Shan, Liping, Liu, Ming, Xu, Dongliang, Yang, Qing, Qin, Bing
Despite achieving remarkable performance on various vision-language tasks, Transformer-based Vision-Language Models (VLMs) suffer from redundancy in inputs and parameters, significantly hampering their efficiency in real-world applications. Moreover,
Externí odkaz:
http://arxiv.org/abs/2305.15033
Autor:
Liang, Jiafeng1 (AUTHOR), Huang, Jie1 (AUTHOR), Tang, Yi1 (AUTHOR), Zhang, Minna1 (AUTHOR), Zhu, Lucheng1 (AUTHOR) zhulucheng1@outlook.com, Xia, Bing1 (AUTHOR) bingxia_hzch@163.com
Publikováno v:
Journal of Translational Medicine. 7/29/2024, Vol. 22 Issue 1, p1-4. 4p.
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 9, Pp 200-207 (2023)
The selectively etch nature balsa wood, leading to a wood sponge with three-dimensional(3D) lamellar structure. After loading a certain proportion of reduced graphene oxide(rGO) and graphene nanosheets(GNP), the graphene-wood sponge(G-WS)/epoxy resin
Externí odkaz:
https://doaj.org/article/c814756c10854fd5ab33a6ed919b4ab2
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