Zobrazeno 1 - 10
of 26 936
pro vyhledávání: '"Xiaotian An"'
Autor:
Sun, Wei, Wang, Wenxuan, Yang, Changhong, Liu, Ying, Wang, Xiaotian, Huang, Shifeng, Cheng, Zhenxiang
Multiferroic materials, characterized by the coexisting of ferroelectric polarization (breaking spatial inversion symmetry) and magnetism (breaking time-reversal symmetry), with strong magnetoelectric coupling, are highly sought after for advanced te
Externí odkaz:
http://arxiv.org/abs/2412.05970
We study the Izergin-Korepin Gaudin models with both periodic and open integrable boundary conditions, which describe novel quantum systems exhibiting long-range interactions. Using the Bethe ansatz approach, we derive the eigenvalues of the Gaudin o
Externí odkaz:
http://arxiv.org/abs/2412.04761
LLMs have garnered considerable attention for their potential to streamline Automated Program Repair (APR). LLM-based approaches can either insert the correct code or directly generate patches when provided with buggy methods. However, most of LLM-ba
Externí odkaz:
http://arxiv.org/abs/2412.03905
Autor:
Yang, Xinyu, Zhu, Xiaotian, Murray, Caitlin, Paryoonyong, Chawaphon, Xu, Xingyuan, Tan, Mengxi, Morandotti, Roberto, Little, Brent E., Moss, David J., Chu, Sai T., Corcoran, Bill, Su, Donglin
The deterministic generation of robust soliton comb has significant meaning for the optical frequency combs to be widely used in various applications. As a novel form of microcomb, Soliton crystal holds the advantages of easy generation, high convers
Externí odkaz:
http://arxiv.org/abs/2411.17069
Knowledge distillation (KD) has become a widely adopted approach for compressing large language models (LLMs) to reduce computational costs and memory footprints. However, the availability of complex teacher models is a prerequisite for running most
Externí odkaz:
http://arxiv.org/abs/2411.16991
Synchronizing production and test code, known as PT co-evolution, is critical for software quality in the software development lifecycle. Existing methods for automatic PT co-evolution either utilize predefined heuristic rules or rely on simple appli
Externí odkaz:
http://arxiv.org/abs/2411.11033
Various processing-in-memory (PIM) accelerators based on various devices, micro-architectures, and interfaces have been proposed to accelerate deep neural networks (DNNs). How to deploy DNNs onto PIM-based accelerators is the key to explore PIM's hig
Externí odkaz:
http://arxiv.org/abs/2411.09159
Autor:
Nie, Xiaotian, Zheng, Wei
In a previous theoretical work [arXiv:2205.01461], T. Esslinger group proposed a scheme to realize a spatial-temporal lattice, which possesses dual periodicity on space and time, in a cavity-boson system pumped by a travelling wave laser. However, th
Externí odkaz:
http://arxiv.org/abs/2411.04687
Graph Convolutional Networks (GCNs) are state-of-the-art deep learning models for representation learning on graphs. However, the efficient training of GCNs is hampered by constraints in memory capacity and bandwidth, compounded by the irregular data
Externí odkaz:
http://arxiv.org/abs/2411.03857
The propensity of Large Language Models (LLMs) to generate hallucinations and non-factual content undermines their reliability in high-stakes domains, where rigorous control over Type I errors (the conditional probability of incorrectly classifying h
Externí odkaz:
http://arxiv.org/abs/2411.02603