Web: http://arxiv.org/abs/2207.04154

Sept. 21, 2022, 1:14 a.m. | Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh

cs.CL updates on arXiv.org arxiv.org

Machine Learning (ML) models are increasingly used to make critical decisions
in real-world applications, yet they have become more complex, making them
harder to understand. To this end, researchers have proposed several techniques
to explain model predictions. However, practitioners struggle to use these
explainability techniques because they often do not know which one to choose
and how to interpret the results of the explanations. In this work, we address
these challenges by introducing TalkToModel: an interactive dialogue system for
explaining …

arxiv conversations interactive language machine machine learning machine learning models natural natural language

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