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The Lessons of Developing Process Reward Models in Mathematical Reasoning
Annual Meeting of the Association for Computational LinguisticsProcess Reward Models (PRMs) emerge as a promising approach for process supervision in mathematical reasoning of Large Language Models (LLMs), which aim to identify and mitigate intermediate errors in the reasoning processes.
Zhenru Zhang +8 more
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Mathematical model of immune processes
Journal of Theoretical Biology, 1977Abstract In the model the time lags of the antibody production and immune memory formation are taken into account explicitly. The antibody-antigen reaction is supposed to be very fast. The cases of a reproducing antigen as well as that of a non-reproducting antigen are considered. The conditions of the infinite increase of the antigen quantity and of
B F, Dibrov +2 more
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Semantic processing of mathematical gestures
Brain and Cognition, 2009To examine whether or not university mathematics students semantically process gestures depicting mathematical functions (mathematical gestures) similarly to the way they process action gestures and sentences. Semantic processing was indexed by the N400 effect.The N400 effect elicited by words primed with mathematical gestures (e.g.
Vanessa K, Lim +7 more
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The Mathematics Teacher, 1973
When observing mathematics lessons, I often find myself reflecting on how powerfully the hind of image of mathematics the teacher has affects what he says and does. Lee Shulman puts, this very clearly in the excellent chapter “Psychology and Mathematics Education,” which he contributed to the NSSE Yearbook Mathematics Education.
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When observing mathematics lessons, I often find myself reflecting on how powerfully the hind of image of mathematics the teacher has affects what he says and does. Lee Shulman puts, this very clearly in the excellent chapter “Psychology and Mathematics Education,” which he contributed to the NSSE Yearbook Mathematics Education.
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Mathematical information processing
1979By an information processing system we mean quite generally a system capable of receiving information, that is, signals having a well-defined structure, of transferring them, storing them, transforming them, and again delivering them. The nature if such a system is determined, among other characteristics, by the following classification features: 1.
I. N. Bronshtein, K. A. Semendyayev
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Mathematical Foundations of Signal Processing
SIAM Review, 1979An operator-theoretic overview of discrete-time single-channel signal processing is given, covering such topics as the time and frequency domain structure of weakly stationary stochastic processes,...
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Mathematical Models in Polymer Processing
Meccanica, 2000This article is devoted to several important problems in the modelling of polymers: isothermal and isobaric crystallization, and polymerization process (the Ziegler-Natta production of polypropylen). The author is mainly interested in developing the models; the mathematical analysis of the models is only sketched and rather cited.
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Mathematical Processing of Keratograms
Biomedical Engineering, 2003The paper deals with the mathematical processing of keratograms of a new keratoscope designed by the authors. A method of describing the curve of the corneal surface section (to a certain degree) by polynomial is under consideration; the method's accuracy is assessed. The calculations' results reveal a practical suitability of the methods for measuring
S. V. Khizhii, M. V. Malinskaya
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Mathematical Models of Combustion Processes
Journal of Mathematical ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Denisov, I. V., Denisov, A. I.
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2018
Multivariate calibration models sometimes require one to pre-process the instrumental data with mathematical techniques. Criteria are discussed for performing this relevant activity. The objective is to reduce the impact of physical phenomena or changes in the instrumental response over time.
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Multivariate calibration models sometimes require one to pre-process the instrumental data with mathematical techniques. Criteria are discussed for performing this relevant activity. The objective is to reduce the impact of physical phenomena or changes in the instrumental response over time.
openaire +1 more source