2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks
Jakob Ambsdorf
With deep neural models increasingly permeating our daily lives comes a need for transparent and comprehensible explanations of their decision-making. However, most explanation met…
cs.CV2022★ 2 cited
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Björn Plüster, Jakob Ambsdorf, Lukas Braach +2
Natural language explanations promise to offer intuitively understandable explanations of a neural network's decision process in complex vision-language tasks, as pursued in recent…
cs.RO2022★ 1 cited
Explain yourself! Effects of Explanations in Human-Robot Interaction
Jakob Ambsdorf, Alina Munir, Yiyao Wei +8
Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions…