:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Wang, Yan, Jo, Su Jeong
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2605.12618
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles
by: Achananuparp, Palakorn, et al.
Published: (2025)

ESG Beliefs of Large Language Models: Evidence and Impact
by: Li, Tong, et al.
Published: (2025)

Evaluation of Bias Towards Medical Professionals in Large Language Models
by: Chen, Xi, et al.
Published: (2024)

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)

Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics
by: Grande, Virginia, et al.
Published: (2024)

Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities
by: Wang, Yuntao, et al.
Published: (2025)

Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries
by: Smith, M. Merritt, et al.
Published: (2026)

AI and Cultural Context: An Empirical Investigation of Large Language Models' Performance on Chinese Social Work Professional Standards
by: Qi, Zia, et al.
Published: (2024)

Comparative Analysis of Human Mobility Patterns: Utilizing Taxi and Mobile (SafeGraph) Data to Investigate Neighborhood-Scale Mobility in New York City
by: Jiang, Yuqin, et al.
Published: (2024)

Early Detection of Critical Urban Events using Mobile Phone Network Data
by: Lemaire, Pierre, et al.
Published: (2024)

The Price of Prompting: Profiling Energy Use in Large Language Models Inference
by: Husom, Erik Johannes, et al.
Published: (2024)

Environmental Burden of United States Data Centers in the Artificial Intelligence Era
by: Guidi, Gianluca, et al.
Published: (2024)

IT Students Career Confidence and Career Identity During COVID-19
by: McKenzie, Sophie
Published: (2025)

Potentials and Limitations of Large-scale, Individual-level Mobile Location Data for Food Acquisition Analysis
by: Lyu, Duanya, et al.
Published: (2025)

The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
by: Lee, Jinsook, et al.
Published: (2026)

When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
by: Zhu, Jianfeng, et al.
Published: (2026)

Accuracy of a Large Language Model in Distinguishing Anti- And Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus Vaccination
by: Kim, Soojong, et al.
Published: (2024)

Large Language Models Approach Expert Pedagogical Quality in Math Tutoring but Differ in Instructional and Linguistic Profiles
by: Abdulsalam, Ramatu Oiza, et al.
Published: (2025)

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
by: Akyürek, Afra Feyza, et al.
Published: (2025)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)

Llama-Polya: Instruction Tuning for Large Language Model based on Polya's Problem-solving
by: Lee, Unggi, et al.
Published: (2026)

Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
by: Yang, Fengze, et al.
Published: (2025)

Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionals
by: Choudhury, Avishek, et al.
Published: (2024)

Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
by: Akiri, Charankumar, et al.
Published: (2025)

Evidence of conceptual mastery in the application of rules by Large Language Models
by: Nunes, José Luiz, et al.
Published: (2025)

Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies
by: Ke, Jinghan, et al.
Published: (2025)

To Be, Or Not To Be?: Regulating Impossible AI in the United States
by: Sharma, Maanas Kumar
Published: (2024)

AgentSUMO: An Agentic Framework for Interactive Simulation Scenario Generation in SUMO via Large Language Models
by: Jeong, Minwoo, et al.
Published: (2025)

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

Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
by: Yong, Xixian, et al.
Published: (2026)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)

Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States
by: Ganguly, Amrita, et al.
Published: (2025)

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

Exploring Large Language Model Agents for Piloting Social Experiments
by: Piao, Jinghua, et al.
Published: (2025)

Feel Old Yet? Updating Mode of Transportation Distributions from Travel Surveys using Data Fusion with Mobile Phone Data
by: Graells-Garrido, Eduardo, et al.
Published: (2022)

Mobile Health Text Misinformation Identification Using Mobile Data Mining
by: Hu, Wen-Chen, et al.
Published: (2024)

Transparent and Fair Profiling in Employment Services: Evidence from Switzerland
by: Räz, Tim
Published: (2025)

Fine-Tuning Large Language Models for Educational Support: Leveraging Gagne's Nine Events of Instruction for Lesson Planning
by: Jia, Linzhao, et al.
Published: (2025)

Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination
by: Cho, Young-Min, et al.
Published: (2024)

Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations
by: Lee, Sanguk, et al.
Published: (2024)