Datasets To EVAL. by Jin Lu (428513)

“…<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. …”

Statistical significance test results. by Jin Lu (428513)

“…<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. …”

How RAG work. by Jin Lu (428513)

“…<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. …”

OpenBookQA experimental results. by Jin Lu (428513)

“…<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. …”

AI2_ARC experimental results. by Jin Lu (428513)

“…<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. …”

TQA experimental results. by Jin Lu (428513)

“…<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. …”

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

“…<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. …”

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

“…<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. …”

ScienceQA experimental results. by Jin Lu (428513)

“…<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. …”

Code interpreter with LLM. by Jin Lu (428513)

“…<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. …”

Excerpt from a provenance graph depicting the refinement process of a simulation model (SM1) during a simulation study. by Andreas Ruscheinski (7880759)

af3cli: Streamlining AlphaFold3 Input Preparation by Philipp Döpner (21028454)

“…With the release of AlphaFold3, modeling capabilities have expanded beyond protein structure prediction to embrace the inherent complexity of biomolecular systems, including nucleic acids, ions, small molecules, and their interactions. …”

Example provenance graph of exploring the difference between two simulation models by visualizing simulation data generated from two independent simulation experiments. by Andreas Ruscheinski (7880759)

Flowchart of the study participants. by Saeid Rasouli (20370998)

“…<div><p>Background</p><p>Optic neuritis (ON) can be an initial clinical presentation of multiple sclerosis This study aims to provide a practical predictive model for identifying at-risk ON patients in developing MS.…”

Feature importance of variables. by Saeid Rasouli (20370998)

“…<div><p>Background</p><p>Optic neuritis (ON) can be an initial clinical presentation of multiple sclerosis This study aims to provide a practical predictive model for identifying at-risk ON patients in developing MS.…”

Environmental Census: Modeling Synthetic Biology Ecological Risk with Metagenomic Enzymatic Data and High-Performance Computing by John Docter (22772100)

M-SGWR model by M. Naser Lessani (17817475)

“…<p dir="ltr">This project is related to the developemet of M-SGWR model. The repo contains all the necessary information, including the python code "M-SGWR", datasets and the instruction of how to reproduce the results presented in the article. …”

Modeling organoid deformation. by Julien Laussu (3554030)

“…B: Schema presenting the three different types of controlled loads tested in the FEM model. …”

Extreme delta - pydeltaRCM models by Octria Adi Prasojo (10507373)

“…<p dir="ltr">The folder contains the Python codes (.ipynb) to run the pyDeltaRCM models of extreme events impact on delta morphodynamics across five climate regions, along with the modelling results (.nc) presented by the same authors in the manuscript.…”

Dataset for the Modeling and Bibliometric Analysis of Business plan for Entrepreneurship by Shofie Galuh Amanda (22121604)

“…The analysis and visualization were carried out using R Biblioshiny for thematic mapping and trend topics, and Microsoft Excel for main information and annual publication production. For modeling, Python was applied to generate projection analyses of annual scientific production using polynomial regression. …”