Zobrazeno 1 - 10
of 81 642
pro vyhledávání: '"An, Huimin"'
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
Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like rooftop, height, and structure, as well as indicative attributes like function, quality, and age, is essential for accurate urban analysis, simulations, and p
Externí odkaz:
http://arxiv.org/abs/2408.05891
Autor:
Gao, Huimin, Jing, Naihuan
The paper studies how to compute irreducible characters of the generalized symmetric group $C_k\wr{S}_n$ by iterative algorithms. After reproving the Murnaghan-Nakayama rule by vertex algebraic method, we formulate a new iterative formula for charact
Externí odkaz:
http://arxiv.org/abs/2408.04921
Autor:
Li, Wenxuan, Qu, Chongyu, Chen, Xiaoxi, Bassi, Pedro R. A. S., Shi, Yijia, Lai, Yuxiang, Yu, Qian, Xue, Huimin, Chen, Yixiong, Lin, Xiaorui, Tang, Yutong, Cao, Yining, Han, Haoqi, Zhang, Zheyuan, Liu, Jiawei, Zhang, Tiezheng, Ma, Yujiu, Wang, Jincheng, Zhang, Guang, Yuille, Alan, Zhou, Zongwei
We introduce the largest abdominal CT dataset (termed AbdomenAtlas) of 20,460 three-dimensional CT volumes sourced from 112 hospitals across diverse populations, geographies, and facilities. AbdomenAtlas provides 673K high-quality masks of anatomical
Externí odkaz:
http://arxiv.org/abs/2407.16697
Large language models (LLMs) often inherit biases from vast amounts of training corpora. Traditional debiasing methods, while effective to some extent, do not completely eliminate memorized biases and toxicity in LLMs. In this paper, we study an unle
Externí odkaz:
http://arxiv.org/abs/2407.16951
Autor:
Zeng, Zheni, Chen, Jiayi, Chen, Huimin, Yan, Yukun, Chen, Yuxuan, Liu, Zhenghao, Liu, Zhiyuan, Sun, Maosong
Large language models exhibit aspects of human-level intelligence that catalyze their application as human-like agents in domains such as social simulations, human-machine interactions, and collaborative multi-agent systems. However, the absence of d
Externí odkaz:
http://arxiv.org/abs/2407.12393
Remote Direct Memory Access (RDMA) is widely used in data center networks because of its high performance. However, due to the characteristics of RDMA's retransmission strategy and the traffic mode of AI training, current load balancing schemes for d
Externí odkaz:
http://arxiv.org/abs/2407.09808
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estimates the 6-
Externí odkaz:
http://arxiv.org/abs/2407.08106
Male-dominated contexts pose a dilemma: they increase the benefits of repeated collaboration among women, yet at the same time, make such collaborations less likely. This paper seeks to understand the conditions that foster repeated collaboration amo
Externí odkaz:
http://arxiv.org/abs/2407.03474
Autor:
Wang, Neng, Guo, Ruibin, Shi, Chenghao, Zhang, Hui, Lu, Huimin, Zheng, Zhiqiang, Chen, Xieyuanli
4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous vehicles. It entails identifying the semantic category of each point in
Externí odkaz:
http://arxiv.org/abs/2406.16279