Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models

11 April 2024

Papers citing "Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models"

5 / 5 papers shown

Title
ChatGPT and U(X): A Rapid Review on Measuring the User Experience Katie Seaborn LM&MA ELM 79 0 0 20 Mar 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies Sunnie S. Y. Kim J. Vaughan Q. V. Liao Tania Lombrozo Olga Russakovsky 94 5 0 12 Feb 2025
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 51 58 0 26 Sep 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis Harmanpreet Kaur Hal Daumé Hanna M. Wallach Jennifer Wortman Vaughan FAtt 46 27 0 27 Apr 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017