بدائل البحث:
model presented » model predicted (توسيع البحث)
python model » action model (توسيع البحث), motion model (توسيع البحث)
model presented » model predicted (توسيع البحث)
python model » action model (توسيع البحث), motion model (توسيع البحث)
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Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.
منشور في 2025"…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…"
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
منشور في 2024"…This tool represents a significant advancement in the realm of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a>, providing a robust solution for modern Python programming challenges.…"
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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
منشور في 2024"…</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …"
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Code interpreter with 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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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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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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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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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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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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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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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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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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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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15
FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures
منشور في 2025الموضوعات: -
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FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures
منشور في 2025الموضوعات: -
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City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code
منشور في 2025"…The dataset is complemented by processing code and raw input data in the "Python_Code" directory to ensure full reproducibility. …"
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