Zobrazeno 1 - 10
of 34 523
pro vyhledávání: '"XU jing"'
Autor:
Prasad, Archiki, Yuan, Weizhe, Pang, Richard Yuanzhe, Xu, Jing, Fazel-Zarandi, Maryam, Bansal, Mohit, Sukhbaatar, Sainbayar, Weston, Jason, Yu, Jane
Self-alignment, whereby models learn to improve themselves without human annotation, is a rapidly growing research area. However, existing techniques often fail to improve complex reasoning tasks due to the difficulty of assigning correct rewards. An
Externí odkaz:
http://arxiv.org/abs/2411.04109
Autor:
Yang, Qifan, Xu, Jing, Fu, Xiao, Lian, Jingchen, Wang, Liqi, Gong, Xuhe, Wang, Zibin, Xiao, Ruijuan, Li, Hong
In solid-state batteries (SSBs), improving the physical contact at the electrode-electrolyte interface is essential for achieving better performance and durability. On the one hand, it is necessary to look for solid-state electrolytes (SSEs) with hig
Externí odkaz:
http://arxiv.org/abs/2410.15350
Autor:
Chen, Kai, Gou, Yunhao, Huang, Runhui, Liu, Zhili, Tan, Daxin, Xu, Jing, Wang, Chunwei, Zhu, Yi, Zeng, Yihan, Yang, Kuo, Wang, Dingdong, Xiang, Kun, Li, Haoyuan, Bai, Haoli, Han, Jianhua, Li, Xiaohui, Jin, Weike, Xie, Nian, Zhang, Yu, Kwok, James T., Zhao, Hengshuang, Liang, Xiaodan, Yeung, Dit-Yan, Chen, Xiao, Li, Zhenguo, Zhang, Wei, Liu, Qun, Yao, Jun, Hong, Lanqing, Hou, Lu, Xu, Hang
GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for omni-modal foundation models. However, empowering Large Language Models to perceive and generate images, texts, and speeches end-to-en
Externí odkaz:
http://arxiv.org/abs/2409.18042
Semantic communication technology emerges as a pivotal bridge connecting AI with classical communication. The current semantic communication systems are generally modeled as an Auto-Encoder (AE). AE lacks a deep integration of AI principles with comm
Externí odkaz:
http://arxiv.org/abs/2410.08222
Autor:
Bai, Jieyun, Zhou, Zihao, Ou, Zhanhong, Koehler, Gregor, Stock, Raphael, Maier-Hein, Klaus, Elbatel, Marawan, Martí, Robert, Li, Xiaomeng, Qiu, Yaoyang, Gou, Panjie, Chen, Gongping, Zhao, Lei, Zhang, Jianxun, Dai, Yu, Wang, Fangyijie, Silvestre, Guénolé, Curran, Kathleen, Sun, Hongkun, Xu, Jing, Cai, Pengzhou, Jiang, Lu, Lan, Libin, Ni, Dong, Zhong, Mei, Chen, Gaowen, Campello, Víctor M., Lu, Yaosheng, Lekadir, Karim
Segmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) for monitoring labor progression, is a crucial first step for
Externí odkaz:
http://arxiv.org/abs/2409.10980
While large language models (LLMs) have been explored in the speech domain for both generation and recognition tasks, their applications are predominantly confined to the monolingual scenario, with limited exploration in multilingual and code-switche
Externí odkaz:
http://arxiv.org/abs/2409.10969
Autor:
Jiang, Taoran, Ma, Liqian, Guan, Yixuan, Meng, Jiaojiao, Chen, Weihang, Zeng, Zecui, Li, Lusong, Wu, Dan, Xu, Jing, Chen, Rui
Articulated object manipulation is ubiquitous in daily life. In this paper, we present DexSim2Real$^{2}$, a novel robot learning framework for goal-conditioned articulated object manipulation using both two-finger grippers and multi-finger dexterous
Externí odkaz:
http://arxiv.org/abs/2409.08750
This paper studies simple bilevel problems, where a convex upper-level function is minimized over the optimal solutions of a convex lower-level problem. We first show the fundamental difficulty of simple bilevel problems, that the approximate optimal
Externí odkaz:
http://arxiv.org/abs/2409.06530
Autor:
Han, Rong, Liu, Xiaohong, Pan, Tong, Xu, Jing, Wang, Xiaoyu, Lan, Wuyang, Li, Zhenyu, Wang, Zixuan, Song, Jiangning, Wang, Guangyu, Chen, Ting
Accurately measuring protein-RNA binding affinity is crucial in many biological processes and drug design. Previous computational methods for protein-RNA binding affinity prediction rely on either sequence or structure features, unable to capture the
Externí odkaz:
http://arxiv.org/abs/2409.03773
NeRFs have achieved incredible success in novel view synthesis. However, the accuracy of the implicit geometry is unsatisfactory because the passive static environmental illumination has low spatial frequency and cannot provide enough information for
Externí odkaz:
http://arxiv.org/abs/2408.06592