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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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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository
Published 2025“…</p><p dir="ltr">This repository contains code to accompany the paper:</p><p><br></p><p dir="ltr">Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS</p><p><br></p><p dir="ltr">Consult the paper for further details and explanation of what is included in this repository.…”
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2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
Published 2025“…The code offers insight into the workflows and their resulting outputs; it demonstrates the methodologies presented in this work and helps to illustrate key implementation concepts. …”
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Code interpreter with 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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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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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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Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.
Published 2025“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”
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