29 citations · 55 across the 27 of their papers we have counts for
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cs.CL2022★ 1 cited
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert +3
Saliency maps can explain a neural model's predictions by identifying important input features. They are difficult to interpret for laypeople, especially for instances with many fe…
cs.CL2022★ 10 cited
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus, Ajay Madhavan Ravichandran, Sebastian Möller
The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this…