Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Li, Zhaoyi"'
Quantum purity amplification (QPA) offers a novel approach to counteracting the pervasive noise that degrades quantum states. We present the optimal QPA protocol for general quantum systems against global depolarizing noise, which has remained unknow
Externí odkaz:
http://arxiv.org/abs/2409.18167
Autor:
Jiang, Gangwei, Jiang, Caigao, Li, Zhaoyi, Xue, Siqiao, Zhou, Jun, Song, Linqi, Lian, Defu, Wei, Ying
Fine-tuning large language models (LLMs) can cause them to lose their general capabilities. However, the intrinsic mechanisms behind such forgetting remain unexplored. In this paper, we begin by examining this phenomenon by focusing on knowledge unde
Externí odkaz:
http://arxiv.org/abs/2406.12227
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
Compositional generalization, representing the model's ability to generate text with new attribute combinations obtained by recombining single attributes from the training data, is a crucial property for multi-aspect controllable text generation (MCT
Externí odkaz:
http://arxiv.org/abs/2404.04232
LLMs have marked a revolutonary shift, yet they falter when faced with compositional reasoning tasks. Our research embarks on a quest to uncover the root causes of compositional reasoning failures of LLMs, uncovering that most of them stem from the i
Externí odkaz:
http://arxiv.org/abs/2402.14328
This paper considers the out-of-distribution (OOD) generalization problem under the setting that both style distribution shift and spurious features exist and domain labels are missing. This setting frequently arises in real-world applications and is
Externí odkaz:
http://arxiv.org/abs/2312.06226
Autor:
Park, Joon-Suh, Lim, Soon Wei Daniel, Amirzhan, Arman, Kang, Hyukmo, Karrfalt, Karlene, Kim, Daewook, Leger, Joel, Urbas, Augustine M., Ossiander, Marcus, Li, Zhaoyi, Capasso, Federico
Metasurfaces, optics made from subwavelength-scale nanostructures, have been limited to millimeter-sizes by the scaling challenge of producing vast numbers of precisely engineered elements over a large area. In this study, we demonstrate an all-glass
Externí odkaz:
http://arxiv.org/abs/2307.08186
In recent years, Deep Reinforcement Learning (DRL) has emerged as a promising method for robot collision avoidance. However, such DRL models often come with limitations, such as adapting effectively to structured environments containing various pedes
Externí odkaz:
http://arxiv.org/abs/2306.08870
Despite the rising prevalence of neural sequence models, recent empirical evidences suggest their deficiency in compositional generalization. One of the current de-facto solutions to this problem is compositional data augmentation, aiming to incur ad
Externí odkaz:
http://arxiv.org/abs/2306.02840
Publikováno v:
Phys. Rev. B 108, 144303 (2023)
We study the far-from-equilibrium dynamics of isolated two-dimensional Heisenberg antiferromagnets. We consider spin spiral initial conditions which imprint a position-dependent staggered-magnetization (or Neel order) in the two-dimensional lattice.
Externí odkaz:
http://arxiv.org/abs/2211.08392
Autor:
Li, Zhaoyi1 (AUTHOR), Zhang, Meirong2,3 (AUTHOR), Wang, Yi2,3 (AUTHOR), Li, Yijia2,3 (AUTHOR) director@chatb.org.cn, Zhu, Yi Zhun1,4,5 (AUTHOR) yzzhu@must.edu.mo
Publikováno v:
Advanced Nanobiomed Research. Sep2024, p1. 13p. 9 Illustrations.