Cover Image

Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sinacola, Enzo, Pachot, Arnault, Petit, Thierry
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence Computation and Language Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transparent Screening for LLM Inference and Training Impacts
by: Pachot, Arnault, et al.
Published: (2026)

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
by: Abels, Axel, et al.
Published: (2025)

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
by: Samory, Mattia, et al.
Published: (2025)

A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
by: Ranjan, Rajesh, et al.
Published: (2024)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
by: Cohen, Myke C., et al.
Published: (2026)

Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
by: Wolfe, Robert, et al.
Published: (2024)

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
by: Phutane, Mahika, et al.
Published: (2025)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)

LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation
by: Ghosh, Himel, et al.
Published: (2026)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
by: Karamolegkou, Antonia, et al.
Published: (2025)

HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
by: Sturgeon, Benjamin, et al.
Published: (2025)

Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)

Cognitive Bias Detection Using Advanced Prompt Engineering
by: Lemieux, Frederic, et al.
Published: (2025)

More is More: Addition Bias in Large Language Models
by: Santagata, Luca, et al.
Published: (2024)

Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
by: Petit, Thierry, et al.
Published: (2024)

Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
by: Seshadri, Preethi, et al.
Published: (2026)

Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
by: Kaur, Navreet, et al.
Published: (2025)

EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
by: Qiu, Jiahao, et al.
Published: (2025)

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
by: Si, Chenglei, et al.
Published: (2025)

What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
by: Staufer, Dimitri, et al.
Published: (2026)

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
by: Xi, Sarina, et al.
Published: (2025)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
by: Si, Chenglei, et al.
Published: (2024)

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles
by: Haq, Irti, et al.
Published: (2026)

ChatGPT and U(X): A Rapid Review on Measuring the User Experience
by: Seaborn, Katie
Published: (2025)

User-Assistant Bias in LLMs
by: Pan, Xu, et al.
Published: (2025)

HybridQuestion: Human-AI Collaboration for Identifying High-Impact Research Questions
by: Zhao, Keyu, et al.
Published: (2025)

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
by: Pasch, Stefan
Published: (2025)

Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models: A Systematic Review
by: Asseri, Bushra, et al.
Published: (2025)

How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments
by: Raffini, Daniel, et al.
Published: (2025)

Minion: A Technology Probe to Explore How Users Negotiate Harmful Value Conflicts with AI Companions
by: Fan, Xianzhe, et al.
Published: (2024)

Neutral Prompts, Non-Neutral People: Quantifying Gender and Skin-Tone Bias in Gemini Flash 2.5 Image and GPT Image 1.5
by: Balestri, Roberto
Published: (2026)

TUX: Measuring Human--AI Tacit Understanding
by: Li, Yueshen, et al.
Published: (2026)

Human-Centred LLM Privacy Audits: Findings and Frictions
by: Staufer, Dimitri, et al.
Published: (2026)

Human Decision-making is Susceptible to AI-driven Manipulation
by: Sabour, Sahand, et al.
Published: (2025)

Human Preferences for Constructive Interactions in Language Model Alignment
by: Kyrychenko, Yara, et al.
Published: (2025)

ChatBench: From Static Benchmarks to Human-AI Evaluation
by: Chang, Serina, et al.
Published: (2025)

Mind the Style: Impact of Communication Style on Human-Chatbot Interaction
by: Derner, Erik, et al.
Published: (2026)

Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation
by: Spencer, Piyapath T
Published: (2024)

Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia
by: Amani, Sara, et al.
Published: (2023)