Zobrazeno 1 - 10
of 9 136
pro vyhledávání: '"FU, Wei"'
In this work, we examine the impact of phase transitions on quark spin fluctuation and correlation. We propose a novel observable for quark-antiquark correlation that relates to vector meson spin alignment and $\Lambda-\bar\Lambda$ correlation. Using
Externí odkaz:
http://arxiv.org/abs/2410.20704
Autor:
Gao, Jiaxuan, Xu, Shusheng, Ye, Wenjie, Liu, Weilin, He, Chuyi, Fu, Wei, Mei, Zhiyu, Wang, Guangju, Wu, Yi
Reward models have been increasingly critical for improving the reasoning capability of LLMs. Existing research has shown that a well-trained reward model can substantially improve model performances at inference time via search. However, the potenti
Externí odkaz:
http://arxiv.org/abs/2410.15115
Reinforcement Learning from Human Feedback (RLHF) stands as a pivotal technique in empowering large language model (LLM) applications. Since RLHF involves diverse computational workloads and intricate dependencies among multiple LLMs, directly adopti
Externí odkaz:
http://arxiv.org/abs/2406.14088
The critical dynamics of Model H with a conserved order parameter coupled to a transverse momentum density which describes the gas-liquid or binary-fluid transitions is investigated within the functional renormalization group approach formulated on t
Externí odkaz:
http://arxiv.org/abs/2406.00679
Autor:
Fu, Wei, John, Mark, Maddumapatabandi, Thathsara D., Bussolotti, Fabio, Yau, Yong Sean, Lin, Ming, Goh, Kuan Eng Johnson
Publikováno v:
ACS Nano 2023,17,17,16348-16368
The manipulation of edge configurations and structures in atomically thin transition metal dichalcogenides (TMDs) for versatile functionalization has attracted intensive interest in recent years. The chemical vapor deposition (CVD) approach has shown
Externí odkaz:
http://arxiv.org/abs/2404.17074
Autor:
Xu, Shusheng, Fu, Wei, Gao, Jiaxuan, Ye, Wenjie, Liu, Weilin, Mei, Zhiyu, Wang, Guangju, Yu, Chao, Wu, Yi
Publikováno v:
ICML 2024
Reinforcement Learning from Human Feedback (RLHF) is currently the most widely used method to align large language models (LLMs) with human preferences. Existing RLHF methods can be roughly categorized as either reward-based or reward-free. Novel app
Externí odkaz:
http://arxiv.org/abs/2404.10719
Convergence of three different expansion schemes at finite baryon chemical potentials, including the conventional Taylor expansion, the Pad\'e approximants, and the $T'$ expansion proposed recently in lattice QCD simulations, have been investigated i
Externí odkaz:
http://arxiv.org/abs/2403.06770
Recently, in studies of holographic models and hydrodynamics with spontaneous breaking of approximate symmetries, it has been proposed that the damping of pseudo-Goldstone modes at finite temperatures is universally constrained in the way that $\Omeg
Externí odkaz:
http://arxiv.org/abs/2403.03503
Fluctuations of conserved charges, such as the net-baryon number fluctuations, are influenced by different dynamical evolution processes. In this paper, we investigate the influence of hadronic rescatterings on different orders of cumulants of the ne
Externí odkaz:
http://arxiv.org/abs/2402.12823
Autor:
Lau, Chit Siong, Das, Sarthak, Verzhbitskiy, Ivan A., Huang, Ding, Zhang, Yiyu, Talha-Dean, Teymour, Fu, Wei, Venkatakrishnarao, Dasari, Goh, Kuan Eng Johnson
Publikováno v:
ACS Nano, 17 (11), 9870-9905 (2023)
Despite over a decade of intense research efforts, the full potential of two-dimensional transition metal dichalcogenides continues to be limited by major challenges. The lack of compatible and scalable dielectric materials and integration techniques
Externí odkaz:
http://arxiv.org/abs/2402.02707