Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models

5 April 2023

Papers citing "Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models"

6 / 6 papers shown

Title
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman Sridha Sridharan Clinton Fookes 35 0 0 22 May 2024
Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models David Sobrín-Hidalgo Miguel Ángel González Santamarta Ángel Manuel Guerrero Higueras Francisco J. Rodríguez-Lera Vicente Matellán Olivera 51 4 0 06 Feb 2024
The Impact of Imperfect XAI on Human-AI Decision-Making Katelyn Morrison Philipp Spitzer Violet Turri Michelle C. Feng Niklas Kühl Adam Perer 33 33 0 25 Jul 2023
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods Nils Feldhus Leonhard Hennig Maximilian Dustin Nasert Christopher Ebert Robert Schwarzenberg Sebastian Möller FAtt 21 19 0 13 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 369 12,003 0 04 Mar 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021