Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust
Fuente:
arXiv
Guardado en:
| Autores principales: | Sun, Yuan, Wang, Ting |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents
por: Wang, Luyuan, et al.
Publicado: (2024)
por: Wang, Luyuan, et al.
Publicado: (2024)
Trust in Transparency: How Explainable AI Shapes User Perceptions
por: Sunny, Allen Daniel
Publicado: (2025)
por: Sunny, Allen Daniel
Publicado: (2025)
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models
por: Maltbie, Benjamin, et al.
Publicado: (2026)
por: Maltbie, Benjamin, et al.
Publicado: (2026)
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
por: Waterschoot, Cedric, et al.
Publicado: (2025)
por: Waterschoot, Cedric, et al.
Publicado: (2025)
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool
por: Mercier, Thomas M., et al.
Publicado: (2024)
por: Mercier, Thomas M., et al.
Publicado: (2024)
The Fake Friend Dilemma: Trust and the Political Economy of Conversational AI
por: Erickson, Jacob
Publicado: (2026)
por: Erickson, Jacob
Publicado: (2026)
Seeing the Reasoning: How LLM Rationales Influence User Trust and Decision-Making in Factual Verification Tasks
por: Sun, Xin, et al.
Publicado: (2026)
por: Sun, Xin, et al.
Publicado: (2026)
OpenMS WebApps: Building User-Friendly Solutions for MS Analysis
por: Müller, Tom David, et al.
Publicado: (2024)
por: Müller, Tom David, et al.
Publicado: (2024)
Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation
por: Xiang, Nan, et al.
Publicado: (2025)
por: Xiang, Nan, et al.
Publicado: (2025)
Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
por: Kasneci, Enkelejda, et al.
Publicado: (2026)
por: Kasneci, Enkelejda, et al.
Publicado: (2026)
TelePreview: A User-Friendly Teleoperation System with Virtual Arm Assistance for Enhanced Effectiveness
por: Guo, Jingxiang, et al.
Publicado: (2024)
por: Guo, Jingxiang, et al.
Publicado: (2024)
A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbots
por: Haran, Shreya, et al.
Publicado: (2026)
por: Haran, Shreya, et al.
Publicado: (2026)
How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System
por: Zhou, Yufan, et al.
Publicado: (2026)
por: Zhou, Yufan, et al.
Publicado: (2026)
Playing With Friends -- The Importance of Social Play During the COVID-19 Pandemic
por: Cmentowski, Sebastian, et al.
Publicado: (2020)
por: Cmentowski, Sebastian, et al.
Publicado: (2020)
What Shapes User Trust in ChatGPT? A Mixed-Methods Study of User Attributes, Trust Dimensions, Task Context, and Societal Perceptions among University Students
por: Bouyzourn, Kadija, et al.
Publicado: (2025)
por: Bouyzourn, Kadija, et al.
Publicado: (2025)
Designing with Culture: How Social Norms Shape Trust and Preference in Health Chatbots
por: Wadhwa, Arpita, et al.
Publicado: (2025)
por: Wadhwa, Arpita, et al.
Publicado: (2025)
AffirmativeAI: Towards LGBTQ+ Friendly Audit Frameworks for Large Language Models
por: Long, Yinru, et al.
Publicado: (2024)
por: Long, Yinru, et al.
Publicado: (2024)
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding
por: Huang, Heng, et al.
Publicado: (2024)
por: Huang, Heng, et al.
Publicado: (2024)
Interaction Context Often Increases Sycophancy in LLMs
por: Jain, Shomik, et al.
Publicado: (2025)
por: Jain, Shomik, et al.
Publicado: (2025)
The Illusion of Agreement with ChatGPT: Sycophancy and Beyond
por: Noshin, Kazi, et al.
Publicado: (2026)
por: Noshin, Kazi, et al.
Publicado: (2026)
Fake Friends and Sponsored Ads: The Risks of Advertising in Conversational Search
por: Erickson, Jacob
Publicado: (2025)
por: Erickson, Jacob
Publicado: (2025)
Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations
por: Wang, Xiyuan, et al.
Publicado: (2025)
por: Wang, Xiyuan, et al.
Publicado: (2025)
'A Little Bubble of Friends': An Analysis of LGBTQ+ Pandemic Experiences Using Reddit Data
por: Birla, Dhruvee, et al.
Publicado: (2025)
por: Birla, Dhruvee, et al.
Publicado: (2025)
The Jade Gateway to Trust: Exploring How Socio-Cultural Perspectives Shape Trust Within Chinese NFT Communities
por: Cao, Yi-Fan, et al.
Publicado: (2025)
por: Cao, Yi-Fan, et al.
Publicado: (2025)
Friend or Foe? Navigating and Re-configuring "Snipers' Alley"
por: Dwyer, Andrew C, et al.
Publicado: (2025)
por: Dwyer, Andrew C, et al.
Publicado: (2025)
"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions
por: Wu, Mengke, et al.
Publicado: (2025)
por: Wu, Mengke, et al.
Publicado: (2025)
Patterns of Creativity: How User Input Shapes AI-Generated Visual Diversity
por: Palmini, Maria-Teresa De Rosa, et al.
Publicado: (2024)
por: Palmini, Maria-Teresa De Rosa, et al.
Publicado: (2024)
The Social Sycophancy Scale: A psychometrically validated measure of sycophancy
por: Rehani, Jean, et al.
Publicado: (2026)
por: Rehani, Jean, et al.
Publicado: (2026)
Investigating the Effects of Eco-Friendly Service Options on Rebound Behavior in Ride-Hailing
por: Zeqiri, Albin, et al.
Publicado: (2026)
por: Zeqiri, Albin, et al.
Publicado: (2026)
Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content
por: Li, Wenqi, et al.
Publicado: (2025)
por: Li, Wenqi, et al.
Publicado: (2025)
Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing
por: Park, Yeon Su, et al.
Publicado: (2026)
por: Park, Yeon Su, et al.
Publicado: (2026)
The Trust Paradox: How CS Researchers Engage LLM Leaderboards
por: Sadeghi, Pouya, et al.
Publicado: (2026)
por: Sadeghi, Pouya, et al.
Publicado: (2026)
"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
por: Xu, Yuansong, et al.
Publicado: (2026)
por: Xu, Yuansong, et al.
Publicado: (2026)
How Much Trust is Enough? Towards Calibrating Trust in Technology
por: Beltrão, Gabriela, et al.
Publicado: (2026)
por: Beltrão, Gabriela, et al.
Publicado: (2026)
Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft
por: Sun, Xin, et al.
Publicado: (2025)
por: Sun, Xin, et al.
Publicado: (2025)
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots
por: Huang, Shih-Hong, et al.
Publicado: (2024)
por: Huang, Shih-Hong, et al.
Publicado: (2024)
HeyFriend Helper: A Conversational AI Web-App for Resource Access Among Low-Income Chicago Residents
por: Juarez, Maddie, et al.
Publicado: (2026)
por: Juarez, Maddie, et al.
Publicado: (2026)
Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making
por: Villavicencio, Mauricio, et al.
Publicado: (2026)
por: Villavicencio, Mauricio, et al.
Publicado: (2026)
Humanoid Robot RHP Friends: Seamless Combination of Autonomous and Teleoperated Tasks in a Nursing Context
por: Benallegue, Mehdi, et al.
Publicado: (2024)
por: Benallegue, Mehdi, et al.
Publicado: (2024)
How AI Responses Shape User Beliefs: The Effects of Information Detail and Confidence on Belief Strength and Stance
por: Wu, Zekun, et al.
Publicado: (2025)
por: Wu, Zekun, et al.
Publicado: (2025)
Ejemplares similares
-
MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents
por: Wang, Luyuan, et al.
Publicado: (2024) -
Trust in Transparency: How Explainable AI Shapes User Perceptions
por: Sunny, Allen Daniel
Publicado: (2025) -
Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models
por: Maltbie, Benjamin, et al.
Publicado: (2026) -
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
por: Waterschoot, Cedric, et al.
Publicado: (2025) -
GazeGenie: Enhancing Multi-Line Reading Research with an Innovative User-Friendly Tool
por: Mercier, Thomas M., et al.
Publicado: (2024)