بدائل البحث:
tool implementation » world implementation (توسيع البحث), model implementation (توسيع البحث), time implementation (توسيع البحث)
python model » motion model (توسيع البحث), action model (توسيع البحث)
tool implementation » world implementation (توسيع البحث), model implementation (توسيع البحث), time implementation (توسيع البحث)
python model » motion model (توسيع البحث), action model (توسيع البحث)
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Datasets To EVAL.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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144
Statistical significance test results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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145
How RAG work.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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146
OpenBookQA experimental results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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147
AI2_ARC experimental results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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148
TQA experimental results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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149
E-EVAL experimental results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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150
TQA Accuracy Comparison Chart on different LLM.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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151
ScienceQA experimental results.
منشور في 2025"…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …"
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152
Short-term load forecasting model of SCNs.
منشور في 2024"…Second, the influencing factors, such as the weather- and week-type data, are coded. Then, combined with the data of influencing factors after coding, the Bagging-SCNs integration algorithm is used to predict the short-term load. …"
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153
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Open Data Package for Article "Exploring Complexity Issues in Junior Developer Code using Static Analysis and FCA"
منشور في 2024"…<p dir="ltr">The present dataset include the SonarQube issues uncovered as part of our exploratory research targeting code complexity issues in junior developer code written in the Python or Java programming languages. …"
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159
Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing
منشور في 2024"…<p dir="ltr">Local Python Code Protector Script: Advanced Tool for Python Code Protection and Secure Sharing</p><h2>Introduction</h2><p dir="ltr">The <b>Local Python Code Protector Script</b> is a powerful command-line tool designed to provide <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>source code protection</b></a> and <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>secure code sharing</b></a> for Python scripts. …"
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160
Code listings for “Contour propagation for adaptive head and neck radiotherapy”
منشور في 2022"…Nash, University of Manchester, 2022</i></p> <p>is presented. This comprises of RayStation (RaySearch, Sweden) scripting code (uses Python), Matlab (Mathworks, USA) and stand-alone Python code.…"