Cover Image

Why Would You Suggest That? Human Trust in Language Model Responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Manasi, Siu, Ho Chit, Paleja, Rohan, Peña, Jaime D.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review
by: Gu, Edward, et al.
Published: (2025)

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
by: Hurley, Isabelle, et al.
Published: (2024)

In Pursuit of Predictive Models of Human Preferences Toward AI Teammates
by: Siu, Ho Chit, et al.
Published: (2025)

Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
by: Suh, Ashley, et al.
Published: (2025)

Inference of Human-derived Specifications of Object Placement via Demonstration
by: Cuellar, Alex, et al.
Published: (2025)

Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
by: Leahy, Kevin, et al.
Published: (2024)

Can Large Language Model Agents Simulate Human Trust Behavior?
by: Xie, Chengxing, et al.
Published: (2024)

Would You Rely on an Eerie Agent? A Systematic Review of the Impact of the Uncanny Valley Effect on Trust in Human-Agent Interaction
by: Alipour, Ahdiyeh, et al.
Published: (2025)

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
by: Zhao, Lingjun, et al.
Published: (2024)

VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication
by: Wang, Xin, et al.
Published: (2025)

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
by: Garikaparthi, Aniketh, et al.
Published: (2025)

Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2025)

Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation
by: Chaudhury, Rohan, et al.
Published: (2024)

Multimodal Transformer Models for Turn-taking Prediction: Effects on Conversational Dynamics of Human-Agent Interaction during Cooperative Gameplay
by: Bae, Young-Ho, et al.
Published: (2025)

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
by: Gor, Maharshi, et al.
Published: (2026)

A Survey on Human-AI Collaboration with Large Foundation Models
by: Vats, Vanshika, et al.
Published: (2024)

Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance
by: Srinivasan, Tejas, et al.
Published: (2025)

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

Anthropomorphism and Trust in Human-Large Language Model interactions
by: Kadambi, Akila, et al.
Published: (2026)

Consistency of Responses and Continuations Generated by Large Language Models on Social Media
by: Xu, Wentao, et al.
Published: (2025)

Chain of Empathy: Enhancing Empathetic Response of Large Language Models Based on Psychotherapy Models
by: Lee, Yoon Kyung, et al.
Published: (2023)

Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
by: Miehling, Erik, et al.
Published: (2024)

Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments
by: Daynauth, Roland, et al.
Published: (2024)

The Effectiveness of Style Vectors for Steering Large Language Models: A Human Evaluation
by: Diallo, Diaoulé, et al.
Published: (2026)

Who Would Chatbots Vote For? Political Preferences of ChatGPT and Gemini in the 2024 European Union Elections
by: Haman, Michael, et al.
Published: (2024)

Exploring Human Perceptions of AI Responses: Insights from a Mixed-Methods Study on Risk Mitigation in Generative Models
by: Candello, Heloisa, et al.
Published: (2025)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
by: Kim, Tae Soo, et al.
Published: (2023)

Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
by: Wan, Nicholas, et al.
Published: (2024)

Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models
by: Carriero, Valentina Anita, et al.
Published: (2024)

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
by: Shen, Guobin, et al.
Published: (2024)

SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
by: Zhao, Runcong, et al.
Published: (2025)

LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models
by: Sun, Chongyan, et al.
Published: (2024)

Limits of Large Language Models in Debating Humans
by: Flamino, James, et al.
Published: (2024)

Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models
by: Yuksel, Kamer Ali, et al.
Published: (2025)

Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation
by: Njifenjou, Ahmed, et al.
Published: (2024)

Persona-E$^2$: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events
by: Yang, Yuqin, et al.
Published: (2026)

The Good, The Bad, and Why: Unveiling Emotions in Generative AI
by: Li, Cheng, et al.
Published: (2023)

Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues
by: Inaba, Michimasa, et al.
Published: (2024)

You Only Look at Screens: Multimodal Chain-of-Action Agents
by: Zhang, Zhuosheng, et al.
Published: (2023)

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