Zobrazeno 1 - 10
of 23 479
pro vyhledávání: '"AN Guosheng"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 8, Pp 109-121 (2024)
With the rapid development of China’s manufacturing industry and the emergence of difficult-to-machine materials， there is an urgent need for cutting technology to continuously update and iterate， and the development of cutting tools has become
Externí odkaz:
https://doaj.org/article/1891a055f2a04006a54f3a1d34aef7ec
We propose a novel deep learning approach to nonparametric statistical inference for the conditional hazard function of survival time with right-censored data. We use a deep neural network (DNN) to approximate the logarithm of a conditional hazard fu
Externí odkaz:
http://arxiv.org/abs/2410.18021
Autor:
Lin, Mingan, Yang, Fan, Shen, Yanjun, Sun, Haoze, Li, Tianpeng, Zhang, Tao, Zhu, Chenzheng, Zheng, Miao, Li, Xu, Zhou, Yijie, Chen, Mingyang, Qin, Yanzhao, Li, Youquan, Liang, Hao, Li, Fei, Li, Yadong, Wang, Mang, Dong, Guosheng, Fang, Kun, Xu, Jianhua, Cui, Bin, Zhang, Wentao, Zhou, Zenan, Chen, Weipeng
We introduce Baichuan Alignment, a detailed analysis of the alignment techniques employed in the Baichuan series of models. This represents the industry's first comprehensive account of alignment methodologies, offering valuable insights for advancin
Externí odkaz:
http://arxiv.org/abs/2410.14940
Autor:
Zhao, Guosheng, Ni, Chaojun, Wang, Xiaofeng, Zhu, Zheng, Zhang, Xueyang, Wang, Yida, Huang, Guan, Chen, Xinze, Wang, Boyuan, Zhang, Youyi, Mei, Wenjun, Wang, Xingang
Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are large
Externí odkaz:
http://arxiv.org/abs/2410.13571
Autor:
Li, Youquan, Zheng, Miao, Yang, Fan, Dong, Guosheng, Cui, Bin, Chen, Weipeng, Zhou, Zenan, Zhang, Wentao
Human feedback is crucial in the interactions between humans and Large Language Models (LLMs). However, existing research primarily focuses on benchmarking LLMs in single-turn dialogues. Even in benchmarks designed for multi-turn dialogues, the user
Externí odkaz:
http://arxiv.org/abs/2410.09412
Autor:
Wang, Shiao, Wang, Yifeng, Ma, Qingchuan, Wang, Xiao, Yan, Ning, Yang, Qingquan, Xu, Guosheng, Tang, Jin
Q-distribution prediction is a crucial research direction in controlled nuclear fusion, with deep learning emerging as a key approach to solving prediction challenges. In this paper, we leverage deep learning techniques to tackle the complexities of
Externí odkaz:
http://arxiv.org/abs/2410.08879
Code Large Language Models (LLMs) have demonstrated remarkable capabilities in generating, understanding, and manipulating programming code. However, their training process inadvertently leads to the memorization of sensitive information, posing seve
Externí odkaz:
http://arxiv.org/abs/2410.08858
Autor:
Li, Yadong, Sun, Haoze, Lin, Mingan, Li, Tianpeng, Dong, Guosheng, Zhang, Tao, Ding, Bowen, Song, Wei, Cheng, Zhenglin, Huo, Yuqi, Chen, Song, Li, Xu, Pan, Da, Zhang, Shusen, Wu, Xin, Liang, Zheng, Liu, Jun, Lu, Keer, Zhao, Yaqi, Shen, Yanjun, Yang, Fan, Yu, Kaicheng, Lin, Tao, Xu, Jianhua, Zhou, Zenan, Chen, Weipeng
The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpart. In this paper, we introduce Baichuan-Omni, the first open-source 7
Externí odkaz:
http://arxiv.org/abs/2410.08565
Many few-shot segmentation (FSS) methods use cross attention to fuse support foreground (FG) into query features, regardless of the quadratic complexity. A recent advance Mamba can also well capture intra-sequence dependencies, yet the complexity is
Externí odkaz:
http://arxiv.org/abs/2409.19613
Autor:
Xu, Zhongcong, Song, Chaoyue, Song, Guoxian, Zhang, Jianfeng, Liew, Jun Hao, Xu, Hongyi, Xie, You, Luo, Linjie, Lin, Guosheng, Feng, Jiashi, Shou, Mike Zheng
Recent advances in video diffusion models have enabled realistic and controllable human image animation with temporal coherence. Although generating reasonable results, existing methods often overlook the need for regional supervision in crucial area
Externí odkaz:
http://arxiv.org/abs/2409.19580