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pro vyhledávání: '"NI, Jian"'
Autor:
Qi, Haode, Qian, Cheng, Ni, Jian, Singh, Pratyush, Fazeli, Reza, Wang, Gengyu, Shu, Zhongzheng, Wayne, Eric, Bross, Juergen
In an enterprise Virtual Assistant (VA) system, intent classification is the crucial component that determines how a user input is handled based on what the user wants. The VA system is expected to be a cost-efficient SaaS service with low training a
Externí odkaz:
http://arxiv.org/abs/2408.11799
The development of generative artificial intelligence (AI) enables large-scale product design automation. However, this automated process usually does not incorporate consumer preference information from the internal dataset of a company. Furthermore
Externí odkaz:
http://arxiv.org/abs/2405.15929
Quirks are generic predictions of strongly-coupled dark sectors. For weak-scale masses and a broad range of confining scales in the dark sector, quirks can be discovered only at the energy frontier, but quirk--anti-quirk pairs are produced with unusu
Externí odkaz:
http://arxiv.org/abs/2404.13814
Event sequence models have been found to be highly effective in the analysis and prediction of events. Building such models requires availability of abundant high-quality event sequence data. In certain applications, however, clean structured event s
Externí odkaz:
http://arxiv.org/abs/2401.07237
We examine the sensitivity reaches of several LHC far detectors, such as FASER2, MATHUSLA, ANUBIS, SND@LHC, and FACET, to five simplified quirk scenarios. We include the next-to-leading order QCD corrections in our simulation of quirk events, which e
Externí odkaz:
http://arxiv.org/abs/2311.15486
Neural ranking methods based on large transformer models have recently gained significant attention in the information retrieval community, and have been adopted by major commercial solutions. Nevertheless, they are computationally expensive to creat
Externí odkaz:
http://arxiv.org/abs/2308.15027
Causal knowledge extraction is the task of extracting relevant causes and effects from text by detecting the causal relation. Although this task is important for language understanding and knowledge discovery, recent works in this domain have largely
Externí odkaz:
http://arxiv.org/abs/2308.03891
Drug-drug interaction prediction is a crucial issue in molecular biology. Traditional methods of observing drug-drug interactions through medical experiments require significant resources and labor. This paper presents a medical knowledge graph quest
Externí odkaz:
http://arxiv.org/abs/2212.09400
Autor:
Liao, Mengna, Li, Kai, Liu, Lina, Zhang, Xiao, Zhang, Yun, Cao, Xianyong, Liu, Xingqi, Ni, Jian
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Publikováno v:
In Quaternary Science Reviews 15 October 2024 342