Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Liang, Shengwen"'
Autor:
Chang, Kaiyan, Chen, Zhirong, Zhou, Yunhao, Zhu, Wenlong, wang, kun, Xu, Haobo, Li, Cangyuan, Wang, Mengdi, Liang, Shengwen, Li, Huawei, Han, Yinhe, Wang, Ying
Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention. Nevertheless, this pap
Externí odkaz:
http://arxiv.org/abs/2407.08473
Autor:
Chang, Kaiyan, Wang, Kun, Yang, Nan, Wang, Ying, Jin, Dantong, Zhu, Wenlong, Chen, Zhirong, Li, Cangyuan, Yan, Hao, Zhou, Yunhao, Zhao, Zhuoliang, Cheng, Yuan, Pan, Yudong, Liu, Yiqi, Wang, Mengdi, Liang, Shengwen, Han, Yinhe, Li, Huawei, Li, Xiaowei
Recent advances in large language models have demonstrated their potential for automated generation of hardware description language (HDL) code from high-level prompts. Researchers have utilized fine-tuning to enhance the ability of these large langu
Externí odkaz:
http://arxiv.org/abs/2403.11202
Autor:
Chang, Kaiyan, Wang, Ying, Ren, Haimeng, Wang, Mengdi, Liang, Shengwen, Han, Yinhe, Li, Huawei, Li, Xiaowei
As large language models (LLMs) like ChatGPT exhibited unprecedented machine intelligence, it also shows great performance in assisting hardware engineers to realize higher-efficiency logic design via natural language interaction. To estimate the pot
Externí odkaz:
http://arxiv.org/abs/2305.14019
Autor:
Liang, Shengwen, Jensen, Michael P.
Publikováno v:
In Journal of Inorganic Biochemistry July 2024 256
Autor:
Song, Zhe, Yu, Shaocai, Chen, Xue, Li, Mengying, Li, Pengfei, Hu, Ke, Liang, Shengwen, Chen, Jianmin, Rosenfeld, Daniel, Seinfeld, John H.
Publikováno v:
In Atmospheric Pollution Research July 2024 15(7)
Autor:
Li, Yafei, Yao, Lu, Yang, Jingyi, Wu, Jianhui, Tang, Xiao, Liang, Shengwen, Zhang, Yufen, Feng, Yinchang
Publikováno v:
In Ecotoxicology and Environmental Safety 15 June 2024 278
Autor:
Wang, Xiaoguang, Hu, Ke, Hao, Yanfen, Yin, Yongguang, Xu, Jing, Li, Yuanhao, Chen, Fengjie, Chen, Bolei, Chen, Lufeng, Li, Qijie, Liu, Qiongyu, Cai, Huiping, Liang, Yong, Wang, Pu, Liang, Shengwen
Publikováno v:
In Urban Climate May 2024 55
Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application domains such as social networks and e-commerce. While such graph data maintained in real-world sy
Externí odkaz:
http://arxiv.org/abs/1909.00155
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Akademický článek
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