Zobrazeno 1 - 10
of 2 367
pro vyhledávání: '"LIU Jiahao"'
Autor:
Li, Bei, Zheng, Tong, Wang, Rui, Liu, Jiahao, Guo, Qingyan, Guo, Junliang, Tan, Xu, Xiao, Tong, Zhu, Jingbo, Wang, Jingang, Cai, Xunliang
Residual networks, as discrete approximations of Ordinary Differential Equations (ODEs), have inspired significant advancements in neural network design, including multistep methods, high-order methods, and multi-particle dynamical systems. The preci
Externí odkaz:
http://arxiv.org/abs/2411.03042
Autor:
Jiang, Yuancheng, Zhang, Chuqi, Ruan, Bonan, Liu, Jiahao, Rigger, Manuel, Yap, Roland, Liang, Zhenkai
PHP, a dominant scripting language in web development, powers a vast range of websites, from personal blogs to major platforms. While existing research primarily focuses on PHP application-level security issues like code injection, memory errors with
Externí odkaz:
http://arxiv.org/abs/2410.21713
Autor:
Wu, Pengfei, Liu, Jiahao, Gong, Zhuocheng, Wang, Qifan, Li, Jinpeng, Wang, Jingang, Cai, Xunliang, Zhao, Dongyan
Publikováno v:
NLPCC2024
Recent advancements in Large Language Models (LLMs) have shown remarkable performance across a wide range of tasks. Despite this, the auto-regressive nature of LLM decoding, which generates only a single token per forward propagation, fails to fully
Externí odkaz:
http://arxiv.org/abs/2410.20488
We revisit the conjectural method called Schubert analysis for generating the alphabet of symbol letters for Feynman integrals, which was based on geometries of intersecting lines associated with corresponding cut diagrams. We explain the effectivene
Externí odkaz:
http://arxiv.org/abs/2410.11423
Autor:
Liu, Jiahao, Shao, YiYang, Zhang, Peng, Li, Dongsheng, Gu, Hansu, Chen, Chao, Du, Longzhi, Lu, Tun, Gu, Ning
Personalized algorithms can inadvertently expose users to discomforting recommendations, potentially triggering negative consequences. The subjectivity of discomfort and the black-box nature of these algorithms make it challenging to effectively iden
Externí odkaz:
http://arxiv.org/abs/2410.05411
Autor:
Wang, Taowen, Liu, Yiyang, Liang, James Chenhao, zhao, junhan, Cui, Yiming, Mao, Yuning, Nie, Shaoliang, Liu, Jiahao, Feng, Fuli, Xu, Zenglin, Han, Cheng, Huang, Lifu, Wang, Qifan, Liu, Dongfang
Multimodal Large Language Models (MLLMs) demonstrate remarkable performance across a wide range of domains, with increasing emphasis on enhancing their zero-shot generalization capabilities for unseen tasks across various modalities. Instruction tuni
Externí odkaz:
http://arxiv.org/abs/2409.15657
Autor:
Yuan, Danlong, Liu, Jiahao, Li, Bei, Zhang, Huishuai, Wang, Jingang, Cai, Xunliang, Zhao, Dongyan
While the Mamba architecture demonstrates superior inference efficiency and competitive performance on short-context natural language processing (NLP) tasks, empirical evidence suggests its capacity to comprehend long contexts is limited compared to
Externí odkaz:
http://arxiv.org/abs/2408.15496
With line-of-sight mode deployment and fast response, unmanned aerial vehicle (UAV), equipped with the cutting-edge integrated sensing and communication (ISAC) technique, is poised to deliver high-quality communication and sensing services in maritim
Externí odkaz:
http://arxiv.org/abs/2408.14027
Multi-section license plate recognition (LPR) data provides input-output information and sampled travel times of the investigated link, serving as an ideal data source for lane-based queue length estimation in recent studies. However, most of these s
Externí odkaz:
http://arxiv.org/abs/2408.06351
Recently considerable efforts have been devoted to computing cosmological correlators and the corresponding wavefunction coefficients, as well as understanding their analytical structures. In this note, we revisit the computation of these ``cosmologi
Externí odkaz:
http://arxiv.org/abs/2407.17715