Zobrazeno 1 - 10
of 326 666
pro vyhledávání: '"Tu, A"'
In the first paper of this sequence, we provided an explicit hypergeometric modularity method by combining different techniques from the classical, $p$-adic, and finite field settings. In this article, we explore an application of this method from a
Externí odkaz:
http://arxiv.org/abs/2411.15116
We revisit the challenging problem of identifying the quantum spin liquid candidate in the spin-1/2 $J_1$-$J_2$ Heisenberg antiferromagnet on the square lattice. By integrating the Gutzwiller-guided density matrix renormalization group method with an
Externí odkaz:
http://arxiv.org/abs/2411.14114
Large language models (LLMs) deliver impressive results but face challenges from increasing model sizes and computational costs. Structured pruning reduces model size and speeds up inference but often causes uneven degradation across domains, leading
Externí odkaz:
http://arxiv.org/abs/2411.14055
Autor:
Zhou, Boyao, Zheng, Shunyuan, Tu, Hanzhang, Shao, Ruizhi, Liu, Boning, Zhang, Shengping, Nie, Liqiang, Liu, Yebin
Differentiable rendering techniques have recently shown promising results for free-viewpoint video synthesis of characters. However, such methods, either Gaussian Splatting or neural implicit rendering, typically necessitate per-subject optimization
Externí odkaz:
http://arxiv.org/abs/2411.11363
We present a theoretical approach, for the first time, to investigate optical and photothermal properties of high-entropy alloy nanoparticles with a focus on FeCoNi-based alloys. We systematically analyze the absorption spectra of spherical nanoparti
Externí odkaz:
http://arxiv.org/abs/2411.11257
The widespread accessibility and ease of use of additive manufacturing (AM), widely recognized as 3D printing, has put Intellectual Property (IP) at great risk of theft. As 3D printers emit acoustic and magnetic signals while printing, the signals ca
Externí odkaz:
http://arxiv.org/abs/2411.10887
This paper presents a novel strategy for constructing body source terms in the high-order lattice Boltzmann method (LBM), designed to efficiently introduce various physical phenomena by modifying the non-equilibrium distribution function. The source
Externí odkaz:
http://arxiv.org/abs/2411.10751
In this study, we revisit the commonly-cited off-target issue in multilingual neural machine translation (MNMT). By carefully designing experiments on different MNMT scenarios and models, we attribute the off-target issue to the overfitting of the sh
Externí odkaz:
http://arxiv.org/abs/2411.10581
Autor:
Tu, Jianhong, Ni, Zhuohao, Crispino, Nicholas, Yu, Zihao, Bendersky, Michael, Gunel, Beliz, Jia, Ruoxi, Liu, Xin, Lyu, Lingjuan, Song, Dawn, Wang, Chenguang
We present a novel instruction tuning recipe to improve the zero-shot task generalization of multimodal large language models. In contrast to existing instruction tuning mechanisms that heavily rely on visual instructions, our approach focuses on lan
Externí odkaz:
http://arxiv.org/abs/2411.10557
We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constraints couple the action spaces of $N$ sub-Markov decision processes (sub-MDPs) that would otherw
Externí odkaz:
http://arxiv.org/abs/2411.09804