Zobrazeno 1 - 10
of 24 138
pro vyhledávání: '"CHEN, Yun"'
Publikováno v:
Comptes Rendus. Mécanique, Vol 351, Iss S2, Pp 233-247 (2023)
We perform three-dimensional phase-field simulations of equiaxed solidification in Al–Cu thin samples. Purely diffusive conditions are considered in order to describe systems where convection and gravity effects can be neglected. The use of a paral
Externí odkaz:
https://doaj.org/article/4a830fbff11e446f9314db80f1cbc837
Anisotropic stochastic gravitational wave background (SGWB) serves as a potential probe of the large-scale structure (LSS) of the universe. In this work, we explore the anisotropic SGWB from local ($z < \sim 0.085$) merging stellar mass compact binar
Externí odkaz:
http://arxiv.org/abs/2412.09956
Autor:
Yang, Ye, Zhang, Shuya, Zhou, Yongkun, Zeng, Xinji, Ren, Kaixuan, Wei, Dong, Wang, Chengyuan, Chen, Yun, Gao, Hong, Li, Fuli
Whether a photon exhibits wavelike or particlelike behaviour depends on the observation method, as clearly demonstrated by Wheeler's delayed choice (DC) experiments. A key aspect of such experiments is the random determination of the observation devi
Externí odkaz:
http://arxiv.org/abs/2412.05847
Generative models, particularly diffusion models, have achieved remarkable success in density estimation for multimodal data, drawing significant interest from the reinforcement learning (RL) community, especially in policy modeling in continuous act
Externí odkaz:
http://arxiv.org/abs/2412.01245
Large language models (LLMs) demonstrate remarkable performance across various tasks, prompting researchers to develop diverse evaluation benchmarks. However, existing benchmarks typically measure the ability of LLMs to respond to individual question
Externí odkaz:
http://arxiv.org/abs/2411.10163
Autor:
Wang, Jiantao, Liu, Peitao, Zhu, Heyu, Liu, Mingfeng, Ma, Hui, Chen, Yun, Sun, Yan, Chen, Xing-Qiu
Combining the efficiency of semi-empirical potentials with the accuracy of quantum mechanical methods, machine-learning interatomic potentials (MLIPs) have significantly advanced atomistic modeling in computational materials science and chemistry. Th
Externí odkaz:
http://arxiv.org/abs/2411.01282
Recent studies have demonstrated that large language models (LLMs) exhibit significant biases in evaluation tasks, particularly in preferentially rating and favoring self-generated content. However, the extent to which this bias manifests in fact-ori
Externí odkaz:
http://arxiv.org/abs/2410.20833
Autor:
Chen, Yun-Hua, Li, Zi-Wei
The chromopolarizability of a charm-beauty quarkonium describes its interaction with soft gluonic fields and can be measured in the heavy quarkonium decays. Using the dispersion theory which consider the $\pi\pi$ final state interaction model-indepen
Externí odkaz:
http://arxiv.org/abs/2410.15415
Autor:
Huang, Chao-Wei, Chen, Yun-Nung
Large language models have demonstrated significant potential as the next-generation information access engines. However, their reliability is hindered by issues of hallucination and generating non-factual content. This is particularly problematic in
Externí odkaz:
http://arxiv.org/abs/2410.01691
Autor:
Huang, Chao-Wei, Chen, Yun-Nung
Effective information retrieval (IR) from vast datasets relies on advanced techniques to extract relevant information in response to queries. Recent advancements in dense retrieval have showcased remarkable efficacy compared to traditional sparse ret
Externí odkaz:
http://arxiv.org/abs/2410.01383