Zobrazeno 1 - 10
of 4 298
pro vyhledávání: '"Liu , Xun"'
Autor:
Wu, Ye, Zhang, Qing, Wang, Yishi, Hu, Yu, Li, Zehui, Li, Zining, Gao, Chang, Liu, Xun, Huang, Haijun, Fei, Yingwei
Davemaoite, as the third most abundant mineral in the lower mantle, constitutes significant amounts in pyrolite and mid-ocean ridge basalts. Due to its unquenchable nature, measurements by static compression techniques on physical properties of davem
Externí odkaz:
http://arxiv.org/abs/2412.13417
With the rapidly increasing capabilities and adoption of code agents for AI-assisted coding, safety concerns, such as generating or executing risky code, have become significant barriers to the real-world deployment of these agents. To provide compre
Externí odkaz:
http://arxiv.org/abs/2411.07781
Autor:
Zhou, Chuyu, Li, Tianyu, Lan, Chenxi, Du, Rongyu, Xin, Guoguo, Nan, Pengyu, Yang, Hangzhou, Wang, Guoqing, Liu, Xun, Li, Wei
Soft- and hard-constrained Physics Informed Neural Networks (PINNs) have achieved great success in solving partial differential equations (PDEs). However, these methods still face great challenges when solving the Navier-Stokes equations (NSEs) with
Externí odkaz:
http://arxiv.org/abs/2411.08122
Motivated by the recent experimental demonstration of the doping dependence of the linear-in-temperature resistivity coefficient in cuprates, we numerically investigated the three-orbital Emery model focusing on the slope of the $T$-linear electronic
Externí odkaz:
http://arxiv.org/abs/2409.20497
Autor:
Fan, Weiru, Qian, Gewei, Wang, Yutong, Xu, Chen-Ran, Chen, Ziyang, Liu, Xun, Li, Wei, Liu, Xu, Liu, Feng, Xu, Xingqi, Wang, Da-Wei, Yakovlev, Vladislav V.
Publikováno v:
PhotoniX 5, 40 (2024)
Holography is an essential technique of generating three-dimensional images. Recently, quantum holography with undetected photons (QHUP) has emerged as a groundbreaking method capable of capturing complex amplitude images. Despite its potential, the
Externí odkaz:
http://arxiv.org/abs/2409.18887
Optical neural networks present distinct advantages over traditional electrical counterparts, such as accelerated data processing and reduced energy consumption. While coherent light is conventionally employed in optical neural networks, our study pr
Externí odkaz:
http://arxiv.org/abs/2409.08070
Autor:
Liu, Xun
In a recent work \cite{Liu:2023gzf}, I proposed a method to challenge the calculations of genus-$g$, bulk $n$-point, $b$-boundary, $c$-crosscap functions with $x$ boundary operators $\mathcal{F}_{g,n,b,c}^{x}$ of two-dimensional conformal field theor
Externí odkaz:
http://arxiv.org/abs/2408.12887
Autor:
Liu, Xun, Ni, Zhengwei
Large language models (LLMs) exhibit impressive proficiency in natural language generation, understanding user instructions, and emulating human-like language use, which has led to significant interest in their application to role-playing scenarios.
Externí odkaz:
http://arxiv.org/abs/2406.00627
Autor:
Pan, Junwei, Xue, Wei, Wang, Ximei, Yu, Haibin, Liu, Xun, Quan, Shijie, Qiu, Xueming, Liu, Dapeng, Xiao, Lei, Jiang, Jie
Publikováno v:
SIGKDD 2024
We present Tencent's ads recommendation system and examine the challenges and practices of learning appropriate recommendation representations. Our study begins by showcasing our approaches to preserving prior knowledge when encoding features of dive
Externí odkaz:
http://arxiv.org/abs/2403.00793
Although model editing has shown promise in revising knowledge in Large Language Models (LLMs), its impact on the inherent capabilities of LLMs is often overlooked. In this work, we reveal a critical phenomenon: even a single edit can trigger model c
Externí odkaz:
http://arxiv.org/abs/2402.09656