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Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

Autor: Zhang, Ze Yu, Verma, Arun, Doshi-Velez, Finale, Low, Bryan Kian Hsiang

Large language models (LLMs) are widely used in decision-making, but their reliability, especially in critical tasks like healthcare, is not well-established. Therefore, understanding how LLMs reason and make decisions is crucial for their safe deplo

Externí odkaz: http://arxiv.org/abs/2407.14845

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Akademický článek

Study on the Distribution Characteristics of Tribolium Castaneum in Wheat Grain Heap

Autor: ZHANG Ze-yu, ZHOU Guo-xin, CUI Miao, WANG Zhong-ming

Publikováno v: Liang you shipin ke-ji, Vol 32, Iss 6, Pp 219-225 (2024)

Using a new type of insect probe trap, the activity and distribution of Tribolium castaneum in wheat grain bulks inside experimental silos were collected and analyzed to investigate its distribution patterns and main influencing factors within the gr

Externí odkaz: https://doaj.org/article/a8b05e551d9b476da3577e8f21830523

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Quantum Fourier Transform for Image Processing

Autor: Zhang, Ze Yu, Gao, Weibo

Quantum information processing and its subfield, quantum image processing, are rapidly growing fields as a result of advancements in the practicality of quantum mechanics. In this paper, we propose a quantum algorithm for processing information, such

Externí odkaz: http://arxiv.org/abs/2305.05953

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