Zobrazeno 1 - 10
of 36 368
pro vyhledávání: '"Xiaonan An"'
Tensegrity robots, characterized by a synergistic assembly of rigid rods and elastic cables, form robust structures that are resistant to impacts. However, this design introduces complexities in kinematics and dynamics, complicating control and state
Externí odkaz:
http://arxiv.org/abs/2410.24226
Messenger RNA (mRNA) vaccines and therapeutics are emerging as powerful tools against a variety of diseases, including infectious diseases and cancer. The design of mRNA molecules, particularly the untranslated region (UTR) and coding sequence (CDS)
Externí odkaz:
http://arxiv.org/abs/2410.20781
Autor:
Zhang, Margaret J., Pradhan, Anvay A., Brei, Zachary, Bu, Xiangyun, Ye, Xiang, Jamal, Saima, Lim, Chae Woo, Huang, Xiaonan, Moore, Talia Y.
Tails serve various functions in both robotics and biology, including expression, grasping, and defense. The vertebrate tails associated with these functions exhibit diverse patterns of vertebral lengths, but the precise mechanisms linking form to fu
Externí odkaz:
http://arxiv.org/abs/2410.21445
Vision-centric autonomous driving has demonstrated excellent performance with economical sensors. As the fundamental step, 3D perception aims to infer 3D information from 2D images based on 3D-2D projection. This makes driving perception models susce
Externí odkaz:
http://arxiv.org/abs/2410.13864
Autor:
Li, Haoyang, Fu, Fangcheng, Ge, Hao, Lin, Sheng, Wang, Xuanyu, Niu, Jiawen, Wang, Yujie, Zhang, Hailin, Nie, Xiaonan, Cui, Bin
As the scale of models and training data continues to grow, there is an expanding reliance on more GPUs to train large-scale models, which inevitably increases the likelihood of encountering dynamic stragglers that some devices lag behind in performa
Externí odkaz:
http://arxiv.org/abs/2410.13333
Autor:
Jiang, Botian, Li, Lei, Li, Xiaonan, Li, Zhaowei, Feng, Xiachong, Kong, Lingpeng, Liu, Qi, Qiu, Xipeng
The rapid advancement of Multimodal Large Language Models (MLLMs) has been accompanied by the development of various benchmarks to evaluate their capabilities. However, the true nature of these evaluations and the extent to which they assess multimod
Externí odkaz:
http://arxiv.org/abs/2410.12329
Hallucination has been a popular topic in natural language generation (NLG). In real-world applications, unfaithful content can result in bad data quality or loss of trust from end users. Thus, it is crucial to fact-check before adopting NLG for prod
Externí odkaz:
http://arxiv.org/abs/2410.12222
Managing large-scale optical distribution networks is a daunting task. This paper introduces a novel solution using radio frequency identification (RFID) technology to transform the procedure we monitor and manage the complex optical network dumb res
Externí odkaz:
http://arxiv.org/abs/2410.18995
Autor:
Xu, Xiaonan, Chen, Haoshuo, Simsarian, Jesse E., Ryf, Roland, Fontaine, Nicolas K., Mazur, Mikael, Dallachiesa, Lauren, Neilson, David T.
We showcase an application that leverages multiple agents, powered by large language models and integrated tools, to collaboratively solve complex network operation tasks across various domains. The tasks include real-time topology retrieval, network
Externí odkaz:
http://arxiv.org/abs/2410.10831
In this paper, extending a result of Brooks et.al. [arXiv:2403.04110], we show that if an outerplanar graph $G$ with minimum degree at least $2$ has positive Lin-Lu-Yau curvature on every vertex pair, then $G$ has at most $10$ vertices, and this uppe
Externí odkaz:
http://arxiv.org/abs/2409.13666