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pro vyhledávání: '"Shen, Ke"'
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
Akademický článek
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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
The paper describes a new supply capacity evaluation model based on the non-extensive statistical entropy. The traditional EW-TOPSIS model is selected as baseline and the GRA method is used to modify it. The correction results in the non-extensive pa
Externí odkaz:
http://arxiv.org/abs/2303.12190
Autor:
Hui Zhou1, Yang He2, Zhong Zheng3, Junpeng Xing3, Zhiqiang Liu3, Zifeng Pi3, Shu Liu3 mslab20@ciac.ac.cn
Publikováno v:
Rapid Communications in Mass Spectrometry: RCM. Apr2021, Vol. 35 Issue 8, p1-10. 10p.
Autor:
Shen, Ke, Kejriwal, Mayank
Acquiring commonsense knowledge and reasoning is an important goal in modern NLP research. Despite much progress, there is still a lack of understanding (especially at scale) of the nature of commonsense knowledge itself. A potential source of struct
Externí odkaz:
http://arxiv.org/abs/2210.01263
Autor:
Shen, Ke, Kejriwal, Mayank
Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language understanding (NLU) problems, such as Question Answering (QA) and abductive reasoning. Despite these advances, there is limited work s
Externí odkaz:
http://arxiv.org/abs/2210.01258
Publikováno v:
Rapid Communications in Mass Spectrometry. 35
Rationale Qi-Shen-Ke-Li (QSKL) is a traditional Chinese formula used in clinical practice to treat chronic heart failure (CHF) in humans. To rationalize the use of this formula in clinical practice, the pharmacokinetics and tissue distribution in rat