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pro vyhledávání: '"Shen Ke"'
In this study, energy-energy correlator (EEC) distributions for the $\rm D^0$, $\rm B^0$-tagged, inclusive, and the PYTHIA generated pure quark jets are computed in pp, p+Pb, and Pb+Pb collisions at \sqrts =5.02 TeV for a same jet transverse momentum
Externí odkaz:
http://arxiv.org/abs/2410.05081
The energy-energy correlator (EEC) is considered as a powerful probe of jet substructure, especially a better probe of certain soft and collinear features. To study the utility of such observable for quark vs gluon discrimination of jet quenching phe
Externí odkaz:
http://arxiv.org/abs/2409.13996
Autor:
Shen, Ke, Kejriwal, Mayank
In recent years,Text-to-SQL, the problem of automatically converting questions posed in natural language to formal SQL queries, has emerged as an important problem at the intersection of natural language processing and data management research. Large
Externí odkaz:
http://arxiv.org/abs/2409.10007
Autor:
Shen, Ke, Kejriwal, Mayank
Despite their impressive performance, large language models (LLMs) such as ChatGPT are known to pose important risks. One such set of risks arises from misplaced confidence, whether over-confidence or under-confidence, that the models have in their i
Externí odkaz:
http://arxiv.org/abs/2408.01935
Akademický článek
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Words of estimative probability (WEPs), such as ''maybe'' or ''probably not'' are ubiquitous in natural language for communicating estimative uncertainty, compared with direct statements involving numerical probability. Human estimative uncertainty,
Externí odkaz:
http://arxiv.org/abs/2405.15185
Akademický článek
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We investigate the thermoelectric effect, which describes the generation of an electric field induced by temperature and conserved charge chemical potential gradients, in the hot and dense hadronic matter created in heavy-ion collisions. Utilizing th
Externí odkaz:
http://arxiv.org/abs/2403.02705
Autor:
Li Zhang, Shuai Yan, Shen-ke Xie, Yi-tong Wei, Hua-peng Liu, Yin Li, Hai-bo Wu, Hai-liang Wang, Peng-fei Xu
Publikováno v:
Endocrine Connections, Vol 13, Iss 12, Pp 1-7 (2024)
Purpose: This study aimed to investigate the relationship between magnetic resonance image (MRI) features and the immunohistochemical subtypes of pituitary microadenomas (PMAs) characterized by location and growth pattern. Materials and methods: A do
Externí odkaz:
https://doaj.org/article/c25b508c7a2e4a41a30aeeadab0ace9b
Autor:
Shen, Ke, Kejriwal, Mayank
Large Language Models (LLMs), such as ChatGPT, have achieved impressive milestones in natural language processing (NLP). Despite their impressive performance, the models are known to pose important risks. As these models are deployed in real-world ap
Externí odkaz:
http://arxiv.org/abs/2310.03283