Zobrazeno 1 - 10
of 20 367
pro vyhledávání: '"Wen, Yu"'
Autor:
Chen, Moyu, Xie, Yongqin, Cheng, Bin, Yang, Zaizheng, Li, Xin-Zhi, Chen, Fanqiang, Li, Qiao, Xie, Jiao, Watanabe, Kenji, Taniguchi, Takashi, He, Wen-Yu, Wu, Menghao, Liang, Shi-Jun, Miao, Feng
Publikováno v:
Nature Nanotechnolgy (2024)
Topologically protected edge state transport in quantum materials is dissipationless and features quantized Hall conductance, and shows great potential in highly fault-tolerant computing technologies. However, it remains elusive about how to develop
Externí odkaz:
http://arxiv.org/abs/2407.17010
The emerging research shows that lncRNA has crucial research value in a series of complex human diseases. Therefore, the accurate identification of lncRNA-disease associations (LDAs) is very important for the warning and treatment of diseases. Howeve
Externí odkaz:
http://arxiv.org/abs/2406.03406
Autor:
Tai, Chi-Hsien, Wen, Wen-Yu
We have investigated a holographic model of a multi-layered superconductor in (2+1)-dimensions using the AdS/CFT correspondence. This correspondence allows us to study strongly interacting condensed matter systems through a weakly interacting gravita
Externí odkaz:
http://arxiv.org/abs/2405.07535
Topological superconductivity has attracted significant attention due to its potential applications in quantum computation, but its experimental realization remains challenging. Recently, monolayer T$_{\textrm{d}}$-MoTe$_2$ was observed to exhibit ga
Externí odkaz:
http://arxiv.org/abs/2405.06858
The emerging research shows that lncRNAs are associated with a series of complex human diseases. However, most of the existing methods have limitations in identifying nonlinear lncRNA-disease associations (LDAs), and it remains a huge challenge to pr
Externí odkaz:
http://arxiv.org/abs/2405.02354
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
Autor:
Chang, Wen-Yu, Chen, Yun-Nung
Recent research in dialogue systems and corpora has focused on two main categories: task-oriented (TOD) and open-domain (chit-chat) dialogues. TOD systems help users accomplish specific tasks, while open-domain systems aim to create engaging conversa
Externí odkaz:
http://arxiv.org/abs/2404.18564
Autor:
Sheng, Jenny, Lin, Matthieu, Zhao, Andrew, Pruvost, Kevin, Wen, Yu-Hui, Li, Yangguang, Huang, Gao, Liu, Yong-Jin
This paper presents an exploration of preference learning in text-to-motion generation. We find that current improvements in text-to-motion generation still rely on datasets requiring expert labelers with motion capture systems. Instead, learning fro
Externí odkaz:
http://arxiv.org/abs/2404.09445
In principle, the probability of configurations, determined by the system's partition function or wave function, encapsulates essential information about phases and phase transitions. Despite the exponentially large configuration space, we show that
Externí odkaz:
http://arxiv.org/abs/2404.07087
Publikováno v:
A&A 686, A168 (2024)
Utilizing a kinematic decomposition of simulated galaxies, we focus on galaxies with tiny kinematically inferred stellar halos, indicative of weak external influences. We investigate the intricate interplay between internal (natural) and external (nu
Externí odkaz:
http://arxiv.org/abs/2403.17313
Autor:
He, Yuze, Bai, Yushi, Lin, Matthieu, Sheng, Jenny, Hu, Yubin, Wang, Qi, Wen, Yu-Hui, Liu, Yong-Jin
By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-3D generation methods have made great progress. Many state-of-the-art approaches usually apply score distillation sampling (SDS) to optimize the NeRF represen
Externí odkaz:
http://arxiv.org/abs/2312.11774