Imagen de Portada

LLM Agents Are Hypersensitive to Nudges

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cherep, Manuel, Maes, Pattie, Singh, Nikhil
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
por: Cherep, Manuel, et al.
Publicado: (2025)

Discovering and Steering Interpretable Concepts in Large Generative Music Models
por: Singh, Nikhil, et al.
Publicado: (2025)

OceanChat: The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change
por: Pataranutaporn, Pat, et al.
Publicado: (2025)

AI persuading AI vs AI persuading Humans: LLMs' Differential Effectiveness in Promoting Pro-Environmental Behavior
por: Doudkin, Alexander, et al.
Publicado: (2025)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
por: Pataranutaporn, Pat, et al.
Publicado: (2025)

Super-intelligence or Superstition? Exploring Psychological Factors Influencing Belief in AI Predictions about Personal Behavior
por: Lee, Eunhae, et al.
Publicado: (2024)

Contrastive Learning from Synthetic Audio Doppelgängers
por: Cherep, Manuel, et al.
Publicado: (2024)

Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
por: Pataranutaporn, Pat, et al.
Publicado: (2025)

Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
por: Danry, Valdemar, et al.
Publicado: (2024)

Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling
por: Zulfikar, Wazeer, et al.
Publicado: (2025)

From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants
por: Danry, Valdemar, et al.
Publicado: (2026)

Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
por: Pataranutaporn, Pat, et al.
Publicado: (2024)

People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy
por: Shekar, Shruthi, et al.
Publicado: (2024)

Designing Adaptive Digital Nudging Systems with LLM-Driven Reasoning
por: Santilli, Tiziano, et al.
Publicado: (2026)

NudgeRank: Digital Algorithmic Nudging for Personalized Health
por: Chiam, Jodi, et al.
Publicado: (2024)

Detecting Reading-Induced Confusion Using EEG and Eye Tracking
por: Zhuang, Haojun, et al.
Publicado: (2025)

Creative Text-to-Audio Generation via Synthesizer Programming
por: Cherep, Manuel, et al.
Publicado: (2024)

AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations
por: Ma, Jenny, et al.
Publicado: (2025)

Active Context Compression: Autonomous Memory Management in LLM Agents
por: Verma, Nikhil
Publicado: (2026)

Nudging: Inference-time Alignment of LLMs via Guided Decoding
por: Fei, Yu, et al.
Publicado: (2024)

Mirai: A Wearable Proactive AI "Inner-Voice" for Contextual Nudging
por: Fang, Cathy Mengying, et al.
Publicado: (2025)

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
por: Kosmyna, Nataliya, et al.
Publicado: (2025)

Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity
por: Pataranutaporn, Pat, et al.
Publicado: (2024)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
por: Chan, Samantha, et al.
Publicado: (2024)

CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades
por: Chang, Raeyoung, et al.
Publicado: (2026)

Program Synthesis Dialog Agents for Interactive Decision-Making
por: Toles, Matthew, et al.
Publicado: (2025)

NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences
por: Baradari, Dünya, et al.
Publicado: (2025)

Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes
por: Nath, Abhijnan, et al.
Publicado: (2025)

If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data
por: Cui, Yanjun, et al.
Publicado: (2026)

Position: Safety and Fairness in Agentic AI Depend on Interaction Topology, Not on Model Scale or Alignment
por: Bajaj, Tanav Singh, et al.
Publicado: (2026)

Should XAI Nudge Human Decisions with Explanation Biasing?
por: Fukuchi, Yosuke, et al.
Publicado: (2024)

Future You: Designing and Evaluating Multimodal AI-generated Digital Twins for Strengthening Future Self-Continuity
por: Albrecht, Constanze, et al.
Publicado: (2025)

OmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic Reflections
por: Bharadwaj, Manasa, et al.
Publicado: (2025)

Large Language Models Enable Design of Personalized Nudges across Cultures
por: Maksimenko, Vladimir, et al.
Publicado: (2025)

Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR
por: Lee, Chanuk, et al.
Publicado: (2026)

Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation
por: Sun, Ruixuan, et al.
Publicado: (2026)

Nudging Consent and the New Opt Out System to the Processing of Health Data in England
por: Meszaros, Janos, et al.
Publicado: (2024)

Optimizing Influence Campaigns: Nudging under Bounded Confidence
por: Chen, Yen-Shao, et al.
Publicado: (2025)

SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
por: Nandi, Subhrangshu, et al.
Publicado: (2025)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents
por: Rosset, Corby, et al.
Publicado: (2024)