Appropriate Reliance On Llm Papers

This page lists 2 peer-reviewed papers in the research area of Appropriate Reliance On Llm in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Fostering appropriate reliance on large language models: The role of explanations, sources, and inconsistencies

Authors: SSY Kim, JW Vaughan, QV Liao, T Lombrozo

Year: 2025

Published in: Proceedings of the ..., 2025 - dl.acm.org

Institution: Wake Forest University, University of Illinois at Urbana-Champaign, Princeton University, University of California Berkeley

Research Area: Appropriate Reliance on LLMs, Explainable AI (XAI), Human-AI Interaction, Cognitive Psychology

Discipline: Cognitive Psychology, Artificial Intelligence, Human-Computer Interaction

The study examines factors that influence users' reliance on LLM responses, finding explanations increase reliance, while sources and inconsistent explanations reduce reliance on incorrect responses.

Methods: Think-aloud study followed by a pre-registered, controlled experiment to assess the impact of explanations, sources, and inconsistencies in LLM responses on user reliance.

Key Findings: Users' reliance on LLM responses, accuracy, and the influence of explanations, inconsistencies, and sources on these measures.

DOI: https://doi.org/10.1145/3706598.3714020

Citations: 38

Sample Size: 308
To rely or not to rely? evaluating interventions for appropriate reliance on large language models

Authors: JY Bo, S Wan, A Anderson

Year: 2025

Published in: Proceedings of the 2025 CHI Conference ..., 2025 - dl.acm.org

Institution: University of Toronto

Research Area: Appropriate reliance on LLM, Human-Computer Interaction, AI-assisted decision making.

Discipline: Human-Computer Interaction

This paper explores the latest advancements and key trends in the field of Human-Computer Interaction (HCI), focusing on novel interfaces and user experience paradigms.

Citations: 25