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time implementation » _ implementation (Expand Search), policy implementation (Expand Search), effective implementation (Expand Search)
code presented » model presented (Expand Search), side presented (Expand Search), order presented (Expand Search)
python time » python files (Expand Search)
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Datasets To EVAL.
Published 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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Statistical significance test results.
Published 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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How RAG work.
Published 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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OpenBookQA experimental results.
Published 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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AI2_ARC experimental results.
Published 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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TQA experimental results.
Published 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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E-EVAL experimental results.
Published 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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TQA Accuracy Comparison Chart on different LLM.
Published 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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ScienceQA experimental results.
Published 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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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …”
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HaPy-Bug – Human Annotated Python Bug Resolution Dataset
Published 2025“…<p dir="ltr">We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. …”
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ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants
Published 2025“…All data sets, models and source code are freely available to support reproducibility and foster community-driven development.…”
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Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies
Published 2025“…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …”
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
Published 2024“…Once the protected .pyc files are prepared, the script bundles them into a single .pyz archive.The script requires Python 3.6 or higher, and the following Python packages:</p><ul><li>requests</li><li>psutil</li><li>cryptography</li><li>astor</li></ul><p dir="ltr"><b>Recommendations and Best Practices</b></p><ul><li><b>Enhance Protection with Multiple Layers</b>: Apply the <b>Local Python Code Protector</b> multiple times to each .pyc file before bundling them. …”
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Supplemental code
Published 2024“…Python code to perform many of the calculations presented in the manuscript…”
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