1.基于Python的在线学习平台设计与实现毕业设计源码国外关于在线学习平台的研究比较广泛,主要涉及到平台的设计与实现、学习资源的开发与利用、学习交互的设计与实现、学习成果的评价等方面。目前,国外正在研究的主要有基于Java的在线学习平台、基于Python的在线学习平台、基于Web的在线学习平台等。基于Java的在线学习平台主要采用Servlet和JSP技术实现,并采用Struts和Spring等框https://blog.csdn.net/fufulove/article/details/144319334

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3.CJEval数据集:一个基于中国初中考试的多样化考试问题数据集现有的数据集主要关注模型在回答考试问题上的准确性。 这些基准主要关注单一类型的问题:多项选择题,这可能无法全面反映模型在教育评估中的综合能力。 数据集地址:CJEval|教育评估数据集|大型语言模型数据集 二、让我们一起看一下CJEval CJEval(中国初中生考试评估的基准)是一个新提出的任务,目的是通过使用真实的中国https://blog.51cto.com/u_17100449/12779126

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5.MachineLearningSource code: this http URL Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG) [300] arXiv:2411.07466 (cross-list from cs.CL) [pdf, html, other] IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark Kawshik Manikantan, Makarand Tapaswi, Vineet Gandhi,http://arxiv.org/list/cs.LG/pastweek?skip=294&show=408

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10.WhatDoesTwitterSayAboutSelf(i.e., teaching and learning) through the introduction and usage of learning management systems, smart devices, Massive Open Online Courses (MOOCsThe analysis script source code of the topic modeling and the word cloud is available on GitHub (https://gist.github.com/slate-dev/8f59772a790https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.820813/full

11.CompositionAnalysisviaIntelligentBinarySourceCode2022. How Machine Learning Is Solving the Binary Function Similarity Problem. In 31st USENIX Security Symposium (USENIX Security 22). 2099–2116. Miyani et al. (2017) Dhaval Miyani, Zhen Huang, and David Lie. 2017. Binpro: A tool for binary source code provenance. arXiv preprint arXiv:171https://www.yiyibooks.cn/__trs__/arxiv/2401.11161v2/index.html

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22.FieldTrip:OpenSourceSoftwareforAdvancedAnalysisofMEGAn important goal of the FieldTrip project is to provide a common platform for experimental scientistsThe modular design facilitates reuse of source code in other software. For example, SPM8 and FieldTripThe multivariate module contains a wide range of machine learning algorithms for classificatiohttp://www.hindawi.com/journals/cin/2011/156869/

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