{"total":34,"rows":[{"id":"2509.13397","title":"The threat of analytic flexibility in using large language models to simulate human data","created":"2025-09-16","cited_by_count":15,"area":null},{"id":"2510.11586","title":"Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models","created":"2025-10-13","cited_by_count":8,"area":null},{"id":"2604.24698","title":"The Chameleon's Limit: Investigating Persona Collapse and Homogenization in Large Language Models","created":"2026-04-27","cited_by_count":8,"area":null},{"id":"2511.21722","title":"German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies","created":"2025-11-19","cited_by_count":5,"area":null},{"id":"2605.07632","title":"Post-training makes large language models less human-like","created":"2026-05-08","cited_by_count":5,"area":null},{"id":"2607.26348","title":"When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses","created":"2026-07-28","cited_by_count":5,"area":null},{"id":"2605.29420","title":"When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs","created":"2026-05-28","cited_by_count":4,"area":null},{"id":"2511.00206","title":"Addressing Longstanding Challenges in Cognitive Science with Language Models","created":"2025-10-31","cited_by_count":3,"area":null},{"id":"2511.06427","title":"Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop","created":"2025-11-09","cited_by_count":3,"area":null},{"id":"2604.08525","title":"Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest","created":"2026-04-09","cited_by_count":3,"area":null},{"id":"2511.21218","title":"Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?","created":"2025-11-26","cited_by_count":2,"area":null},{"id":"2605.06901","title":"Reflections and New Directions for Human-Centered Large Language Models","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2609.02526","title":"When Persona Attributes Improve Population Alignment in Large Language Models","created":"2026-09-02","cited_by_count":2,"area":null},{"id":"2510.02362","title":"A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2511.19956","title":"Prompt Fairness: Sub-group Disparities in LLMs","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2607.24782","title":"Personalization, Personas, and Forecasting in Value Alignment","created":"2026-06-21","cited_by_count":1,"area":null},{"id":"2609.07987","title":"When Can LLM Digital Twins Reduce Human Measurement? From Behavioral Fidelity to Statistical Substitutability","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2511.23041","title":"Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2605.07925","title":"How Value Induction Reshapes LLM Behaviour","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.12530","title":"In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2605.27313","title":"When Does Demographic Information Help? Data and Modeling Regimes for Perspective-Aware Hate Speech Detection","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.12443","title":"Occupational Prompting Reveals Cultural Bias in Large Language Models","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.21657","title":"Chehre: An Emoji-Prompted Dataset to Explore Perceptual Flexibility in Video Language Models","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.02368","title":"Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.17420","title":"The Librarian Who Refused to Code: Model-Dependent Identity Enactment in LLM Code Generation","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2607.20429","title":"More Is Not More: What Matters for Diversity in LLM Opinions?","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2608.11528","title":"Group Alignment-Induced Sycophancy: A Two-Sided Evaluation of Steerable Pluralistic Alignment","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.11649","title":"Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.20355","title":"ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2609.00222","title":"LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.03218","title":"The Analyst in the Prompt: Role, Retrieval, and Memory Biases in LLM Financial Analysis","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.08637","title":"Navigating the digital spectrum: Assessing political bias, stability, and downstream fairness in Large Language Models","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.32758","title":"How Far Do Persona Effects Generalize in Language Models?","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.04676","title":"Extracting Persona Subspaces Through Iterative Nullspace Projection For Modulation","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}