:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chintakunta, Sai Sanjna, Nascimento, Nathalia, Guimaraes, Everton
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society
Accesso online:	https://arxiv.org/abs/2508.11698
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM4DS: Evaluating Large Language Models for Data Science Code Generation
di: Nascimento, Nathalia, et al.
Pubblicazione: (2024)

Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework
di: Nascimento, Nathalia, et al.
Pubblicazione: (2025)

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

Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
di: Ulissi, Shaena, et al.
Pubblicazione: (2025)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
di: Deck, Luca, et al.
Pubblicazione: (2024)

Analyzing Prominent LLMs: An Empirical Study of Performance and Complexity in Solving LeetCode Problems
di: Guimaraes, Everton, et al.
Pubblicazione: (2025)

A Systematic Analysis of Biases in Large Language Models
di: Zhang, Xulang, et al.
Pubblicazione: (2025)

A Framework for Transparent Reporting of Data Quality Analysis Across the Clinical Electronic Health Record Data Lifecycle
di: Wassell, Melinda, et al.
Pubblicazione: (2026)

A Systematic Mapping Study on Open Source Agriculture Technology Research
di: Lumbard, Kevin, et al.
Pubblicazione: (2025)

Large Language Model for Mental Health: A Systematic Review
di: Guo, Zhijun, et al.
Pubblicazione: (2024)

Systems-of-Systems for Environmental Sustainability: A Systematic Mapping Study
di: da Silva, Ana Clara Araújo Gomes, et al.
Pubblicazione: (2025)

Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
di: de Cerqueira, José Siqueira, et al.
Pubblicazione: (2025)

A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation
di: Prikler, Liliana Marie, et al.
Pubblicazione: (2024)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
di: Xia, Boming, et al.
Pubblicazione: (2024)

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
di: Kraft, Angelie, et al.
Pubblicazione: (2022)

The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs)
di: Haltaufderheide, Joschka, et al.
Pubblicazione: (2024)

A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
di: Sarıtaş, Karahan, et al.
Pubblicazione: (2025)

CROSS: A Contributor-Project Interaction Lifecycle Model for Open Source Software
di: Dey, Tapajit, et al.
Pubblicazione: (2024)

"Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams
di: Oak, Rajvardhan, et al.
Pubblicazione: (2025)

Metrics for Assessing Inclusivity and Empowerment of People for Supporting the Design of Inclusive Product Lifecycles
di: Yaldiz, Naz, et al.
Pubblicazione: (2024)

A Systematic Review of Knowledge Tracing and Large Language Models in Education: Opportunities, Issues, and Future Research
di: Cho, Yongwan, et al.
Pubblicazione: (2024)

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
di: Khan, Javed Ali, et al.
Pubblicazione: (2025)

Integrating Large Language Models and Evaluating Student Outcomes in an Introductory Computer Science Course
di: Vadaparty, Annapurna, et al.
Pubblicazione: (2025)

Implicit Personalization in Language Models: A Systematic Study
di: Jin, Zhijing, et al.
Pubblicazione: (2024)

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
di: Huang, Yutan, et al.
Pubblicazione: (2025)

A Human-Centric Framework for Data Attribution in Large Language Models
di: Wührl, Amelie, et al.
Pubblicazione: (2026)

Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
di: Lin, Hao, et al.
Pubblicazione: (2025)

Reimagining Urban Science: Scaling Causal Inference with Large Language Models
di: Xia, Yutong, et al.
Pubblicazione: (2025)

How Large Language Models Systematically Misrepresent American Climate Opinions
di: Kim, Sola, et al.
Pubblicazione: (2025)

Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems
di: Kosenkov, Oleksandr, et al.
Pubblicazione: (2024)

Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education
di: Bush, Annika, et al.
Pubblicazione: (2025)

Triadic Novelty: A Typology and Measurement Framework for Recognizing Novel Contributions in Science
di: Ai, Jin, et al.
Pubblicazione: (2025)

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

Data Defenses Against Large Language Models
di: Agnew, William, et al.
Pubblicazione: (2024)

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study
di: Li, Chuanlei, et al.
Pubblicazione: (2025)

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

Tracing Users' Privacy Concerns Across the Lifecycle of a Romantic AI Companion
di: Azam, Kazi Ababil, et al.
Pubblicazione: (2026)

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

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
di: Wang, Zhenyu, et al.
Pubblicazione: (2024)

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
di: Abraham, Louis, et al.
Pubblicazione: (2024)