Zobrazeno 1 - 10
of 286 110
pro vyhledávání: '"TAI, A"'
Autor:
Broyles, Christopher, Mardanya, Sougata, Liu, Mengke, Ahn, Junyeong, Dinh, Thao, Alqasseri, Gadeer, Garner, Jalen, Rehfuss, Zackary, Guo, Ken, Zhu, Jiahui, Martinez, David, Li, Du, Hao, Yiqing, Cao, Huibo, Boswell, Matt, Xie, Weiwei, Philbric, Jeremy G., Kong, Tai, Yang, Li, Vishwanath, Ashvin, Kim, Philip, Xu, Su-Yang, Hoffman, Jennifer E., Denlinger, Jonathan D., Chowdhury, Sugata, Ran, Sheng
Since the initial discovery of two-dimensional van der Waals (vdW) materials, significant effort has been made to incorporate the three properties of magnetism, band structure topology, and strong electron correlations $-$ to leverage emergent quantu
Externí odkaz:
http://arxiv.org/abs/2411.08816
Reinforcement learning from human feedback (RLHF) provides a paradigm for aligning large language models (LLMs) with human preferences. This involves the initial training of a reward model based on pairwise human feedback. The reward model is subsequ
Externí odkaz:
http://arxiv.org/abs/2411.08302
Autor:
Xue, Cheng, Xu, Xiao-Fan, Zhuang, Xi-Ning, Sun, Tai-Ping, Wang, Yun-Jie, Tan, Ming-Yang, Ye, Chuang-Chao, Liu, Huan-Yu, Wu, Yu-Chun, Chen, Zhao-Yun, Guo, Guo-Ping
Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. However, solving these nonlinear PDEs is challenging due to the vast computa
Externí odkaz:
http://arxiv.org/abs/2411.06759
Autor:
Chen, Zhennan, Li, Yajie, Wang, Haofan, Chen, Zhibo, Jiang, Zhengkai, Li, Jun, Wang, Qian, Yang, Jian, Tai, Ying
In this paper, we present RAG, a Regional-Aware text-to-image Generation method conditioned on regional descriptions for precise layout composition. Regional prompting, or compositional generation, which enables fine-grained spatial control, has gain
Externí odkaz:
http://arxiv.org/abs/2411.06558
In this paper, we address the quantitative regularity and blow-up criteria for classical solutions to the three-dimensional incompressible Navier-Stokes equations in a critical Besov space setting. Specifically, we consider solutions $u\in L^\infty_T
Externí odkaz:
http://arxiv.org/abs/2411.06483
In the United States, skin cancer ranks as the most commonly diagnosed cancer, presenting a significant public health issue due to its high rates of occurrence and the risk of serious complications if not caught early. Recent advancements in dataset
Externí odkaz:
http://arxiv.org/abs/2411.05269
In the United States, prostate cancer is the second leading cause of deaths in males with a predicted 35,250 deaths in 2024. However, most diagnoses are non-lethal and deemed clinically insignificant which means that the patient will likely not be im
Externí odkaz:
http://arxiv.org/abs/2411.04662
Diabetic Retinopathy (DR) is a primary cause of blindness, necessitating early detection and diagnosis. This paper focuses on referable DR classification to enhance the applicability of the proposed method in clinical practice. We develop an advanced
Externí odkaz:
http://arxiv.org/abs/2411.03618
Graph Convolutional Network (GCN) are widely used in Graph Anomaly Detection (GAD) due to their natural compatibility with graph structures, resulting in significant performance improvements. However, most researchers approach GAD as a graph node cla
Externí odkaz:
http://arxiv.org/abs/2411.01817
The definition of heat current operator for systems for non-pairwise additive interactions and its impact on related lattice thermal conductivity ($\kappa_{L}$) via molecular dynamics simulation (MD) are ambiguous and controversial when migrating fro
Externí odkaz:
http://arxiv.org/abs/2411.01255