Zobrazeno 1 - 10
of 9 119
pro vyhledávání: '"Yang-ning"'
Solving complex reasoning tasks is a key real-world application of agents. Thanks to the pretraining of Large Language Models (LLMs) on code data, recent approaches like CodeAct successfully use code as LLM agents' action, achieving good results. How
Externí odkaz:
http://arxiv.org/abs/2412.15305
Autor:
Jin Yao, Xiao‐Qun Wang, Yu‐Jie Li, Kun Shan, Hong Yang, Yang‐Ning‐Zhi Wang, Mu‐Di Yao, Chang Liu, Xiu‐Miao Li, Yi Shen, Jing‐Yu Liu, Hong Cheng, Jun Yuan, Yang‐Yang Zhang, Qin Jiang, Biao Yan
Publikováno v:
EMBO Molecular Medicine, Vol 14, Iss 12, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/64ad1c3bd63343c8902dc4dc9aa9da32
Publikováno v:
Appl. Phys. Lett. 125, 263102 (2024)
Inspired by recent experimental observations of hybrid topological states [Hossain et al. Nature 628, 527 (2024)], we predict hybrid-order topological insulators in 1H transition metal compounds (TMCs), where both second-order and first-order topolog
Externí odkaz:
http://arxiv.org/abs/2409.13258
Autor:
Jin Yao, Xiao‐Qun Wang, Yu‐Jie Li, Kun Shan, Hong Yang, Yang‐Ning‐Zhi Wang, Mu‐Di Yao, Chang Liu, Xiu‐Miao Li, Yi Shen, Jing‐Yu Liu, Hong Cheng, Jun Yuan, Yang‐Yang Zhang, Qin Jiang, Biao Yan
Publikováno v:
EMBO Molecular Medicine, Vol 14, Iss 3, Pp n/a-n/a (2022)
Externí odkaz:
https://doaj.org/article/badd57f94f5f45e985108ae4236c61a4
Cyber-physical systems have become an essential part of the modern healthcare industry. The healthcare cyber-physical systems (HCPS) combine physical and cyber components to improve the healthcare industry. While HCPS has many advantages, it also has
Externí odkaz:
http://arxiv.org/abs/2407.18407
Age of Information (AoI) has emerged as a prominent metric for evaluating the timeliness of information in time-critical applications. Applications, including video streaming, virtual reality, and metaverse platforms, necessitate the use of multicast
Externí odkaz:
http://arxiv.org/abs/2404.18084
Autor:
Li, Zhuhang, Yang, Ning
Recommender systems use users' historical interactions to learn their preferences and deliver personalized recommendations from a vast array of candidate items. Current recommender systems primarily rely on the assumption that the training and testin
Externí odkaz:
http://arxiv.org/abs/2404.14856
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the central network, incorporating edge nodes close to end devices. This expansion facilitates the implementation of large-scale "connected things" within edge networks.
Externí odkaz:
http://arxiv.org/abs/2404.14238
Fine-tuning pre-trained Large Language Models (LLMs) is essential to align them with human values and intentions. This process often utilizes methods like pairwise comparisons and KL divergence against a reference LLM, focusing on the evaluation of f
Externí odkaz:
http://arxiv.org/abs/2404.11999
We investigate multi-agent imitation learning (IL) within the framework of mean field games (MFGs), considering the presence of time-varying correlated signals. Existing MFG IL algorithms assume demonstrations are sampled from Mean Field Nash Equilib
Externí odkaz:
http://arxiv.org/abs/2404.09324