Showing 61 - 80 results of 247 for search '(( python time implementation ) OR ( python code presented ))', query time: 0.27s Refine Results
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    Datasets To EVAL. by Jin Lu (428513)

    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. …”
  3. 63

    Statistical significance test results. by Jin Lu (428513)

    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. …”
  4. 64

    How RAG work. by Jin Lu (428513)

    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. …”
  5. 65

    OpenBookQA experimental results. by Jin Lu (428513)

    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. …”
  6. 66

    AI2_ARC experimental results. by Jin Lu (428513)

    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. …”
  7. 67

    TQA experimental results. by Jin Lu (428513)

    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. …”
  8. 68

    E-EVAL experimental results. by Jin Lu (428513)

    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. …”
  9. 69

    TQA Accuracy Comparison Chart on different LLM. by Jin Lu (428513)

    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. …”
  10. 70

    ScienceQA experimental results. by Jin Lu (428513)

    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. …”
  11. 71

    BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

    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. …”
  12. 72

    HaPy-Bug – Human Annotated Python Bug Resolution Dataset by Piotr Przymus (14564009)

    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 by Diullio P. Santos (22770713)

    Published 2025
    “…All data sets, models and source code are freely available to support reproducibility and foster community-driven development.…”
  16. 76

    Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

    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). …”
  17. 77

    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

    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. …”
  18. 78

    Supplemental code by Donald Warren (19435198)

    Published 2024
    “…Python code to perform many of the calculations presented in the manuscript…”
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