Zobrazeno 1 - 10
of 1 016
pro vyhledávání: '"Wu, ZiHao"'
Autor:
Shu, Peng, Chen, Junhao, Liu, Zhengliang, Wang, Hui, Wu, Zihao, Zhong, Tianyang, Li, Yiwei, Zhao, Huaqin, Jiang, Hanqi, Pan, Yi, Zhou, Yifan, Owl, Constance, Zhai, Xiaoming, Liu, Ninghao, Saunt, Claudio, Liu, Tianming
Large Language Models (LLMs) have demonstrated remarkable success across a wide range of tasks and domains. However, their performance in low-resource language translation, particularly when translating into these languages, remains underexplored. Th
Externí odkaz:
http://arxiv.org/abs/2411.11295
Autor:
Xu, Shaochen, Zhou, Yifan, Liu, Zhengliang, Wu, Zihao, Zhong, Tianyang, Zhao, Huaqin, Li, Yiwei, Jiang, Hanqi, Pan, Yi, Chen, Junhao, Lu, Jin, Zhang, Wei, Zhang, Tuo, Zhang, Lu, Zhu, Dajiang, Li, Xiang, Liu, Wei, Li, Quanzheng, Sikora, Andrea, Zhai, Xiaoming, Xiang, Zhen, Liu, Tianming
Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model-based approaches, including those leveraging in-context demonstration
Externí odkaz:
http://arxiv.org/abs/2411.14461
Autor:
Li, Yiwei, Zhao, Huaqin, Jiang, Hanqi, Pan, Yi, Liu, Zhengliang, Wu, Zihao, Shu, Peng, Tian, Jie, Yang, Tianze, Xu, Shaochen, Lyu, Yanjun, Blenk, Parker, Pence, Jacob, Rupram, Jason, Banu, Eliza, Liu, Ninghao, Wang, Linbing, Song, Wenzhan, Zhai, Xiaoming, Song, Kenan, Zhu, Dajiang, Li, Beiwen, Wang, Xianqiao, Liu, Tianming
The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive exploration of
Externí odkaz:
http://arxiv.org/abs/2410.21418
Autor:
Sun, Haiyang, Zhao, Lin, Wu, Zihao, Gao, Xiaohui, Hu, Yutao, Zuo, Mengfei, Zhang, Wei, Han, Junwei, Liu, Tianming, Hu, Xintao
The human brain has long inspired the pursuit of artificial intelligence (AI). Recently, neuroimaging studies provide compelling evidence of alignment between the computational representation of artificial neural networks (ANNs) and the neural respon
Externí odkaz:
http://arxiv.org/abs/2410.19542
Autor:
Pan, Yi, Jiang, Hanqi, Chen, Junhao, Li, Yiwei, Zhao, Huaqin, Zhou, Yifan, Shu, Peng, Wu, Zihao, Liu, Zhengliang, Zhu, Dajiang, Li, Xiang, Abate, Yohannes, Liu, Tianming
Neuromorphic computing has emerged as a promising energy-efficient alternative to traditional artificial intelligence, predominantly utilizing spiking neural networks (SNNs) implemented on neuromorphic hardware. Significant advancements have been mad
Externí odkaz:
http://arxiv.org/abs/2410.09674
Autor:
Latif, Ehsan, Zhou, Yifan, Guo, Shuchen, Gao, Yizhu, Shi, Lehong, Nayaaba, Matthew, Lee, Gyeonggeon, Zhang, Liang, Bewersdorff, Arne, Fang, Luyang, Yang, Xiantong, Zhao, Huaqin, Jiang, Hanqi, Lu, Haoran, Li, Jiaxi, Yu, Jichao, You, Weihang, Liu, Zhengliang, Liu, Vincent Shung, Wang, Hui, Wu, Zihao, Lu, Jin, Dou, Fei, Ma, Ping, Liu, Ninghao, Liu, Tianming, Zhai, Xiaoming
As artificial intelligence (AI) continues to advance, it demonstrates capabilities comparable to human intelligence, with significant potential to transform education and workforce development. This study evaluates OpenAI o1-preview's ability to perf
Externí odkaz:
http://arxiv.org/abs/2410.21287
Autor:
Li, Yiwei, Kim, Sekeun, Wu, Zihao, Jiang, Hanqi, Pan, Yi, Jin, Pengfei, Song, Sifan, Shi, Yucheng, Liu, Tianming, Li, Quanzheng, Li, Xiang
Echocardiography (ECHO) is essential for cardiac assessments, but its video quality and interpretation heavily relies on manual expertise, leading to inconsistent results from clinical and portable devices. ECHO video generation offers a solution by
Externí odkaz:
http://arxiv.org/abs/2410.03143
Autor:
Zhong, Tianyang, Liu, Zhengliang, Pan, Yi, Zhang, Yutong, Zhou, Yifan, Liang, Shizhe, Wu, Zihao, Lyu, Yanjun, Shu, Peng, Yu, Xiaowei, Cao, Chao, Jiang, Hanqi, Chen, Hanxu, Li, Yiwei, Chen, Junhao, Hu, Huawen, Liu, Yihen, Zhao, Huaqin, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Zhang, Ruidong, Zhao, Wei, Yang, Zhenyuan, Chen, Jingyuan, Wang, Peilong, Ruan, Wei, Wang, Hui, Zhao, Huan, Zhang, Jing, Ren, Yiming, Qin, Shihuan, Chen, Tong, Li, Jiaxi, Zidan, Arif Hassan, Jahin, Afrar, Chen, Minheng, Xia, Sichen, Holmes, Jason, Zhuang, Yan, Wang, Jiaqi, Xu, Bochen, Xia, Weiran, Yu, Jichao, Tang, Kaibo, Yang, Yaxuan, Sun, Bolun, Yang, Tao, Lu, Guoyu, Wang, Xianqiao, Chai, Lilong, Li, He, Lu, Jin, Sun, Lichao, Zhang, Xin, Ge, Bao, Hu, Xintao, Zhang, Lian, Zhou, Hua, Zhang, Lu, Zhang, Shu, Liu, Ninghao, Jiang, Bei, Kong, Linglong, Xiang, Zhen, Ren, Yudan, Liu, Jun, Jiang, Xi, Bao, Yu, Zhang, Wei, Li, Xiang, Li, Gang, Liu, Wei, Shen, Dinggang, Sikora, Andrea, Zhai, Xiaoming, Zhu, Dajiang, Liu, Tianming
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguist
Externí odkaz:
http://arxiv.org/abs/2409.18486
Autor:
Hu, Huawen, Shi, Enze, Yue, Chenxi, Yang, Shuocun, Wu, Zihao, Li, Yiwei, Zhong, Tianyang, Zhang, Tuo, Liu, Tianming, Zhang, Shu
Human-in-the-loop reinforcement learning integrates human expertise to accelerate agent learning and provide critical guidance and feedback in complex fields. However, many existing approaches focus on single-agent tasks and require continuous human
Externí odkaz:
http://arxiv.org/abs/2409.11741
Autor:
Lyu, Yanjun, Wu, Zihao, Zhang, Lu, Zhang, Jing, Li, Yiwei, Ruan, Wei, Liu, Zhengliang, Yu, Xiaowei, Cao, Chao, Chen, Tong, Chen, Minheng, Zhuang, Yan, Li, Xiang, Liu, Rongjie, Huang, Chao, Li, Wentao, Liu, Tianming, Zhu, Dajiang
Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits and heterogeneity of multi-sources genomics data pose significant chall
Externí odkaz:
http://arxiv.org/abs/2409.09825