Zobrazeno 1 - 10
of 21 290
pro vyhledávání: '"Ma, Li-An"'
Autor:
Peng, Zhiheng, Zhao, Kai, Chen, Xiaoran, Ma, Li, Xia, Siyu, Fan, Changjie, Shang, Weijian, Jing, Wei
Efficient, accurate and low-cost estimation of human skeletal information is crucial for a range of applications such as biology education and human-computer interaction. However, current simple skeleton models, which are typically based on 2D-3D joi
Externí odkaz:
http://arxiv.org/abs/2409.01555
Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the identification and characterization of TLSs rely on immunohistochemistry
Externí odkaz:
http://arxiv.org/abs/2408.13978
Autor:
Jin, Yibo, Wang, Tao, Lin, Huimin, Song, Mingyang, Li, Peiyang, Ma, Yipeng, Shan, Yicheng, Yuan, Zhengfan, Li, Cailong, Sun, Yajing, Wu, Tiandeng, Chu, Xing, Huan, Ruizhi, Ma, Li, You, Xiao, Zhou, Wenting, Ye, Yunpeng, Liu, Wen, Xu, Xiangkun, Zhang, Yongsheng, Dong, Tiantian, Zhu, Jiawei, Wang, Zhe, Ju, Xijian, Song, Jianxun, Cheng, Haoliang, Li, Xiaojing, Ding, Jiandong, Guo, Hefei, Zhang, Zhengyong
Serving disaggregated large language models (LLMs) over tens of thousands of xPU devices (GPUs or NPUs) with reliable performance faces multiple challenges. 1) Ignoring the diversity (various prefixes and tidal requests), treating all the prompts in
Externí odkaz:
http://arxiv.org/abs/2408.08147
We proposed the tensor-input tree (TT) method for scalar-on-tensor and tensor-on-tensor regression problems. We first address scalar-on-tensor problem by proposing scalar-output regression tree models whose input variable are tensors (i.e., multi-way
Externí odkaz:
http://arxiv.org/abs/2408.01926
Autor:
Zhou, Chuang, Li, Yang, Ma, Li, Yang, Jie, Huang, Wei, Sun, Ao, Wang, Heng, Luo, Yujie, Li, Yong, Chen, Ziyang, Lau, Francis C. M., Zhang, Yichen, Yu, Song, Guo, Hong, Xu, Bingjie
An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous varia
Externí odkaz:
http://arxiv.org/abs/2407.16432
Autor:
Friedman, Ray, Cho, Jaewoo, Brett, Jeanne, Zhan, Xuhui, Han, Ningyu, Kannan, Sriram, Ma, Yingxiang, Spencer-Smith, Jesse, Jäckel, Elisabeth, Zerres, Alfred, Hooper, Madison, Babbit, Katie, Acharya, Manish, Adair, Wendi, Aslani, Soroush, Aykaç, Tayfun, Bauman, Chris, Bennett, Rebecca, Brady, Garrett, Briggs, Peggy, Dowie, Cheryl, Eck, Chase, Geiger, Igmar, Jacob, Frank, Kern, Molly, Lee, Sujin, Liu, Leigh Anne, Liu, Wu, Loewenstein, Jeffrey, Lytle, Anne, Ma, Li, Mann, Michel, Mislin, Alexandra, Mitchell, Tyree, Nagler, Hannah Martensen née, Nandkeolyar, Amit, Olekalns, Mara, Paliakova, Elena, Parlamis, Jennifer, Pierce, Jason, Pierce, Nancy, Pinkley, Robin, Prime, Nathalie, Ramirez-Marin, Jimena, Rockmann, Kevin, Ross, William, Semnani-Azad, Zhaleh, Schroeder, Juliana, Smith, Philip, Stimmer, Elena, Swaab, Roderick, Thompson, Leigh, Tinsley, Cathy, Tuncel, Ece, Weingart, Laurie, Wilken, Robert, Yao, JingJing, Zhang, Zhi-Xue
In recent years, Large Language Models (LLM) have demonstrated impressive capabilities in the field of natural language processing (NLP). This paper explores the application of LLMs in negotiation transcript analysis by the Vanderbilt AI Negotiation
Externí odkaz:
http://arxiv.org/abs/2407.21037
Autor:
Gao, Wanling, Huang, Yunyou, Cui, Dandan, Yu, Zhuoming, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Zhao, Gangyuan, Jiang, Chongrong, Huang, Fan, Wei, Tianyi, Tang, Suqin, Xia, Bingjie, Zhang, Zhifei, Zhan, Jianfeng
A profound gap persists between artificial intelligence (AI) and clinical practice in medicine, primarily due to the lack of rigorous and cost-effective evaluation methodologies. State-of-the-art and state-of-the-practice AI model evaluations are lim
Externí odkaz:
http://arxiv.org/abs/2407.08554
Autor:
Li, Yang, Luo, Yujie, Zhang, Yichen, Sun, Ao, Huang, Wei, Zhang, Shuai, Zhang, Tao, Zhou, Chuang, Ma, Li, Yang, Jie, Wu, Mei, Wang, Heng, Pan, Yan, Shao, Yun, Chen, Xing, Chen, Ziyang, Yu, Song, Guo, Hong, Xu, Bingjie
Secure precision time synchronization is important for applications of Cyber-Physical Systems. However, several attacks, especially the Time Delay Attack (TDA), deteriorates the performance of time synchronization system seriously. Multiple paths sch
Externí odkaz:
http://arxiv.org/abs/2406.15501
Autor:
Gao, Wanling, Liu, Yuan, Yu, Zhuoming, Cui, Dandan, Liu, Wenjing, Liang, Xiaoshuang, Zhao, Jiahui, Xie, Jiyue, Li, Hao, Ma, Li, Ye, Ning, Kang, Yumiao, Luo, Dingfeng, Pan, Peng, Huang, Wei, Liu, Zhongmou, Hu, Jizhong, Huang, Fan, Zhao, Gangyuan, Jiang, Chongrong, Wei, Tianyi, Zhang, Zhifei, Huang, Yunyou, Zhan, Jianfeng
Artificial Intelligence (AI) plays a crucial role in medical field and has the potential to revolutionize healthcare practices. However, the success of AI models and their impacts hinge on the synergy between AI and medical specialists, with clinicia
Externí odkaz:
http://arxiv.org/abs/2406.07362
Exploiting activation sparsity is a promising approach to significantly accelerating the inference process of large language models (LLMs) without compromising performance. However, activation sparsity is determined by activation functions, and commo
Externí odkaz:
http://arxiv.org/abs/2406.05955