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of 20 336
pro vyhledávání: '"JUN YU"'
We present a pragmatic approach to lower down the mass scale of right-handed neutrinos in leptogenesis by introducing a scalar decaying to right-handed neutrinos. The key point of our proposal is that the out-of-equilibrium decays of the scalar provi
Externí odkaz:
http://arxiv.org/abs/2406.13468
Model editing is an emerging field that focuses on updating the knowledge embedded within large language models (LLMs) without extensive retraining. However, current model editing methods significantly compromise the general abilities of LLMs as the
Externí odkaz:
http://arxiv.org/abs/2405.16821
Autor:
Feng, Xiang, He, Yongbo, Wang, Yubo, Yang, Yan, Li, Wen, Chen, Yifei, Kuang, Zhenzhong, ding, Jiajun, Fan, Jianping, Jun, Yu
Recently, 3D Gaussian Splatting (3DGS) has gained popularity as a novel explicit 3D representation. This approach relies on the representation power of Gaussian primitives to provide a high-quality rendering. However, primitives optimized at low reso
Externí odkaz:
http://arxiv.org/abs/2404.10318
Dielectric metalens has emerged as an attractive device for advanced imaging system because of its powerful manipulation ability of light beam, small volume, and light weight. However, the applications of silicon nitride (Si3N4) metalens are limited
Externí odkaz:
http://arxiv.org/abs/2402.11559
The spiral phase contrast microscope can clearly distinguish the morphological information of the low contrast objects (i.e., biological samples) because of the isotropic edge-enhancement effect, while the bright field microscope can image the overal
Externí odkaz:
http://arxiv.org/abs/2402.11554
Despite their exceptional capabilities, large language models (LLMs) are prone to generating unintended text due to false or outdated knowledge. Given the resource-intensive nature of retraining LLMs, there has been a notable increase in the developm
Externí odkaz:
http://arxiv.org/abs/2401.17623
Autor:
Gu, Jia-Chen, Xu, Hao-Xiang, Ma, Jun-Yu, Lu, Pan, Ling, Zhen-Hua, Chang, Kai-Wei, Peng, Nanyun
Model editing is a technique that edits the large language models (LLMs) with updated knowledge to alleviate hallucinations without resource-intensive retraining. While current model editing methods can effectively modify a model's behavior within a
Externí odkaz:
http://arxiv.org/abs/2401.04700
Publikováno v:
J. Appl. Phys. 21 March 2024; 135 (11): 115002
Presented here is the optimization of a planar two-terminal perovskite/silicon tandem solar cell with a texture structure. The developed simulation model is fitted to published experimental results, and the importance of current matching in the two-t
Externí odkaz:
http://arxiv.org/abs/2312.12696
Recent studies have demonstrated that large language models (LLMs) store massive factual knowledge within their parameters. But existing LLMs are prone to hallucinate unintended text due to false or outdated knowledge. Since retraining LLMs is resour
Externí odkaz:
http://arxiv.org/abs/2310.10322
Publikováno v:
Materials Research Letters, Vol 12, Iss 11, Pp 852-859 (2024)
The high yield ratio and low strain hardening ability of titanium alloys significantly limit their engineering applications. In this work, a Ti65Zr30Cu5 (at.%) alloy with nanoscale α laths was additively manufactured and achieved a high yield streng
Externí odkaz:
https://doaj.org/article/5664e9700e504fd7bed0f00fe53b96e9