Zobrazeno 1 - 10
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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
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:
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:
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
Autor:
Santos, Henrique, Shen, Ke, Mulvehill, Alice M., Razeghi, Yasaman, McGuinness, Deborah L., Kejriwal, Mayank
Programming machines with commonsense reasoning (CSR) abilities is a longstanding challenge in the Artificial Intelligence community. Current CSR benchmarks use multiple-choice (and in relatively fewer cases, generative) question-answering instances
Externí odkaz:
http://arxiv.org/abs/2203.12184
Autor:
Kejriwal, Mayank, Shen, Ke
In recent years, there has been a growing recognition that higher-order structures are important features in real-world networks. A particular class of structures that has gained prominence is known as a simplicial complex. Despite their application
Externí odkaz:
http://arxiv.org/abs/2203.06491
Autor:
Chen, Xiao-Dong, Shi, Fu-Long, Liu, Jian-Wei, Shen, Ke, He, Xin-Tao, Chen, Wen-Jie, Dong, Jian-Wen
Topological states, first known as quantum Hall effect or Chern insulating crystal, have been generalized to many classical wave systems where potential applications such as robust waveguiding, quantum computing and high-performance lasers are expect
Externí odkaz:
http://arxiv.org/abs/2112.05356
Publikováno v:
In Learning and Individual Differences July 2024 113