Image de couverture de livre

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chintakunta, Sai Sanjna, Nascimento, Nathalia, Guimaraes, Everton
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LLM4DS: Evaluating Large Language Models for Data Science Code Generation
par: Nascimento, Nathalia, et autres
Publié: (2024)

Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
par: Zhai, Xiaoming
Publié: (2025)

Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
par: Ulissi, Shaena, et autres
Publié: (2025)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
par: Deck, Luca, et autres
Publié: (2024)

A Systematic Mapping Study on Open Source Agriculture Technology Research
par: Lumbard, Kevin, et autres
Publié: (2025)

A Systematic Analysis of Biases in Large Language Models
par: Zhang, Xulang, et autres
Publié: (2025)

A Framework for Transparent Reporting of Data Quality Analysis Across the Clinical Electronic Health Record Data Lifecycle
par: Wassell, Melinda, et autres
Publié: (2026)

Large Language Model for Mental Health: A Systematic Review
par: Guo, Zhijun, et autres
Publié: (2024)

Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
par: de Cerqueira, José Siqueira, et autres
Publié: (2025)

Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework
par: Nascimento, Nathalia, et autres
Publié: (2025)

Systems-of-Systems for Environmental Sustainability: A Systematic Mapping Study
par: da Silva, Ana Clara Araújo Gomes, et autres
Publié: (2025)

The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs)
par: Haltaufderheide, Joschka, et autres
Publié: (2024)

A Human-Centric Framework for Data Attribution in Large Language Models
par: Wührl, Amelie, et autres
Publié: (2026)

A Systematic Review of Knowledge Tracing and Large Language Models in Education: Opportunities, Issues, and Future Research
par: Cho, Yongwan, et autres
Publié: (2024)

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
par: Khan, Javed Ali, et autres
Publié: (2025)

Integrating Large Language Models and Evaluating Student Outcomes in an Introductory Computer Science Course
par: Vadaparty, Annapurna, et autres
Publié: (2025)

A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation
par: Prikler, Liliana Marie, et autres
Publié: (2024)

A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
par: Sarıtaş, Karahan, et autres
Publié: (2025)

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
par: Kraft, Angelie, et autres
Publié: (2022)

Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
par: Lin, Hao, et autres
Publié: (2025)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
par: Xia, Boming, et autres
Publié: (2024)

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
par: Huang, Yutan, et autres
Publié: (2025)

How Large Language Models Systematically Misrepresent American Climate Opinions
par: Kim, Sola, et autres
Publié: (2025)

"Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams
par: Oak, Rajvardhan, et autres
Publié: (2025)

Reimagining Urban Science: Scaling Causal Inference with Large Language Models
par: Xia, Yutong, et autres
Publié: (2025)

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study
par: Li, Chuanlei, et autres
Publié: (2025)

Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study
par: Ko, Ju-Chun
Publié: (2026)

CROSS: A Contributor-Project Interaction Lifecycle Model for Open Source Software
par: Dey, Tapajit, et autres
Publié: (2024)

A Methodological Guide on Using Large Language Models for Reproducible Text Annotation in the Social Sciences and Humanities with Python and R
par: Fang, Qixiang, et autres
Publié: (2026)

Metrics for Assessing Inclusivity and Empowerment of People for Supporting the Design of Inclusive Product Lifecycles
par: Yaldiz, Naz, et autres
Publié: (2024)

Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education
par: Bush, Annika, et autres
Publié: (2025)

Implicit Personalization in Language Models: A Systematic Study
par: Jin, Zhijing, et autres
Publié: (2024)

Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems
par: Kosenkov, Oleksandr, et autres
Publié: (2024)

Data Defenses Against Large Language Models
par: Agnew, William, et autres
Publié: (2024)

Are Large Language Models Ready for Business Integration? A Study on Generative AI Adoption
par: Mboli, Julius Sechang, et autres
Publié: (2025)

Ethics by Design: A Lifecycle Framework for Trustworthy AI in Medical Imaging From Transparent Data Governance to Clinically Validated Deployment
par: Khan, Umer Sadiq, et autres
Publié: (2025)

Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education
par: Lopez-Miranda, Ana Elisa, et autres
Publié: (2025)

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
par: Wang, Zhenyu, et autres
Publié: (2024)

Can the capability of Large Language Models be described by human ability? A Meta Study
par: Zan, Mingrui, et autres
Publié: (2025)

Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study
par: Xu, Liuchang, et autres
Publié: (2024)