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pro vyhledávání: '"Han, XUE"'
Autor:
Han, Xue
Electrochemical CO2 reduction reaction (ECO2RR) powered by renewable electricity possesses the potential to store intermittent energy in chemical bonds while producing sustainable chemicals and fuels. Unfortunately, it is hard to achieve low overpote
Externí odkaz:
http://hdl.handle.net/10919/114110
Autor:
Zhou, Hao, Wang, Zhijun, Huang, Shujian, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Luo, Weihua, Chen, Jiajun
Large Language Models (LLMs) are often English-centric due to the disproportionate distribution of languages in their pre-training data. Enhancing non-English language capabilities through post-pretraining often results in catastrophic forgetting of
Externí odkaz:
http://arxiv.org/abs/2408.11396
Autor:
Hu, Peng, Liu, Sizhe, Gao, Changjiang, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Huang, Shujian
Large Language Models have demonstrated impressive reasoning capabilities across multiple languages. However, the relationship between capabilities in different languages is less explored. In this work, we decompose the process of reasoning tasks int
Externí odkaz:
http://arxiv.org/abs/2406.16655
Autor:
Zhang, Shimao, Gao, Changjiang, Zhu, Wenhao, Chen, Jiajun, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Huang, Shujian
Recently, Large Language Models (LLMs) have shown impressive language capabilities. While most of the existing LLMs have very unbalanced performance across different languages, multilingual alignment based on translation parallel data is an effective
Externí odkaz:
http://arxiv.org/abs/2405.13816
Autor:
Han, Xue-Ying, Hua, Jun, Ji, Xiangdong, Lü, Cai-Dian, Wang, Wei, Xu, Ji, Zhang, Qi-An, Zhao, Shuai
We present a method to compute lightcone distribution amplitudes (LCDAs) of heavy meson within heavy quark effective theory (HQET). Our method utilizes quasi distribution amplitudes (quasi-DAs) with a large momentum component $P^z$. We point out that
Externí odkaz:
http://arxiv.org/abs/2403.17492
Autor:
Bando, Yosuke, Pillai, Ramdas, Kajita, Atsushi, Hakeem, Farhan Abdul, Quemener, Yves, Tseng, Hua-an, Piatkevich, Kiryl D., Linghu, Changyang, Han, Xue, Boyden, Edward S.
Publikováno v:
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 813-818, 2023
In voltage imaging, where the membrane potentials of individual neurons are recorded at from hundreds to thousand frames per second using fluorescence microscopy, data processing presents a challenge. Even a fraction of a minute of recording with a l
Externí odkaz:
http://arxiv.org/abs/2403.16438
Publikováno v:
Applicable Analysis and Discrete Mathematics, 2024 Apr 01. 18(1), 65-91.
Externí odkaz:
https://www.jstor.org/stable/27303527
We calculate the next-to-leading order QCD corrections to $B$ to scalar meson form factors from QCD light-cone sum rules with $B$ meson light-cone distribution amplitudes. We demonstrate that the $B$ meson-to-vacuum correlation functions can be facto
Externí odkaz:
http://arxiv.org/abs/2309.05631
Deep learning prediction of electromagnetic software calculation results has been a widely discussed issue in recent years. But the prediction accuracy was still one of the challenges to be solved. In this work, we proposed that the ResNets-10 model
Externí odkaz:
http://arxiv.org/abs/2308.04450