Zobrazeno 1 - 10
of 853 416
pro vyhledávání: '"P. Hong"'
Autor:
Xue, Haoran, Ge, Yong, Cheng, Zheyu, Guan, Yi-jun, Zhu, Jiaojiao, Zou, Hong-yu, Yuan, Shou-qi, Yang, Shengyuan A., Sun, Hong-xiang, Chong, Yidong, Zhang, Baile
Publikováno v:
Sci. Adv. 10, eadp0377 (2024)
Spin and valley are two fundamental properties of electrons in crystals. The similarity between them is well understood in valley-contrasting physics established decades ago in two-dimensional (2D) materials like graphene--with broken inversion symme
Externí odkaz:
http://arxiv.org/abs/2409.11714
Autor:
Wu, Hong, An, Jun-Hong
It was recently found that, going beyond the tendfold Altland-Zirnbauer symmetry classes and violating the bulk-boundary correspondence of the usual topological phases, PT-invariant systems support a real Chern insulator with the so-called boundary c
Externí odkaz:
http://arxiv.org/abs/2409.05437
General expressions for one-loop contributions associated with the lepton-flavor violating decays of the standard model-like Higgs boson $h\to e_b^\pm e_a^\mp$ and gauge boson $Z\to e^\pm_b e_a^\mp$ are introduced in the unitary gauge. The results ar
Externí odkaz:
http://arxiv.org/abs/2409.01390
Autor:
Research, LG AI, An, Soyoung, Bae, Kyunghoon, Choi, Eunbi, Choi, Stanley Jungkyu, Choi, Yemuk, Hong, Seokhee, Hong, Yeonjung, Hwang, Junwon, Jeon, Hyojin, Jo, Gerrard Jeongwon, Jo, Hyunjik, Jung, Jiyeon, Jung, Yountae, Kim, Euisoon, Kim, Hyosang, Kim, Joonkee, Kim, Seonghwan, Kim, Soyeon, Kim, Sunkyoung, Kim, Yireun, Kim, Youchul, Lee, Edward Hwayoung, Lee, Haeju, Lee, Honglak, Lee, Jinsik, Lee, Kyungmin, Lee, Moontae, Lee, Seungjun, Lim, Woohyung, Park, Sangha, Park, Sooyoun, Park, Yongmin, Seo, Boseong, Yang, Sihoon, Yeen, Heuiyeen, Yoo, Kyungjae, Yun, Hyeongu
We introduce EXAONE 3.0 instruction-tuned language model, the first open model in the family of Large Language Models (LLMs) developed by LG AI Research. Among different model sizes, we publicly release the 7.8B instruction-tuned model to promote ope
Externí odkaz:
http://arxiv.org/abs/2408.03541
Autor:
Feng, Shuya, Mohammady, Meisam, Hong, Hanbin, Yan, Shenao, Kundu, Ashish, Wang, Binghui, Hong, Yuan
Differentially private federated learning (DP-FL) is a promising technique for collaborative model training while ensuring provable privacy for clients. However, optimizing the tradeoff between privacy and accuracy remains a critical challenge. To ou
Externí odkaz:
http://arxiv.org/abs/2407.14710
As Deep Neural Networks (DNNs) rapidly advance in various fields, including speech verification, they typically involve high computational costs and substantial memory consumption, which can be challenging to manage on mobile systems. Quantization of
Externí odkaz:
http://arxiv.org/abs/2407.08991
Interconnection networks, or `interconnects,' play a crucial role in administering the communication among computing units of high-performance computing (HPC) systems. Efficient provisioning of interconnects minimizes the processing delay wherein com
Externí odkaz:
http://arxiv.org/abs/2409.13281
Autor:
Shen, Yizhi, Buzali, Alex, Hu, Hong-Ye, Klymko, Katherine, Camps, Daan, Yelin, Susanne F., Van Beeumen, Roel
Quantum algorithms exploiting real-time evolution under a target Hamiltonian have demonstrated remarkable efficiency in extracting key spectral information. However, the broader potential of these methods, particularly beyond ground state calculation
Externí odkaz:
http://arxiv.org/abs/2409.13691
In this study, we explore the efficacy of advanced pre-trained architectures, such as Vision Transformers (ViT), ConvNeXt, and Swin Transformers in enhancing Federated Domain Generalization. These architectures capture global contextual features and
Externí odkaz:
http://arxiv.org/abs/2409.13527
The Schwinger model serves as a benchmark for testing non-perturbative algorithms in quantum chromodynamics (QCD), emphasizing its similarities to QCD in strong coupling regimes, primarily due to the phenomena such as confinement and charge screening
Externí odkaz:
http://arxiv.org/abs/2409.13510