Apr 7, 2020 · We survey the literature with respect to faithfulness evaluation, and arrange the current approaches around three assumptions.
We should tease apart the two definitions and focus solely on evaluating faithfulness without any influ- ence of the convincing power of the interpretation.
A survey of model explanation methods in NLP through the lens of faithfulness, grouping existing approaches into five categories.
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Towards Faithfully Interpretable NLP Systems: How Should We Define ...
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We propose the following guidelines for evaluating the faithfulness of explanations. These guidelines address common pitfalls and sub-optimal practices we ...
A question answering evaluation framework for faithfulness assessment in abstractive summarization.
In the context of NLP, explainers assign weights to each token indicating their importance in prediction, and faithfulness is measured by how consistent these ...
Apr 27, 2020 · We should tease apart the two definitions and focus solely on evaluating faithfulness without any super- vision or influence of the convincing ...
Oct 31, 2019 · An issue that has consistently appeared is of faithful interpretation — how to provide explanations that accurately represent the true reasoning ...
Faithfulness refers to the extent to which an explanation accurately reflects a model's reasoning process (Jacovi and Goldberg 2020). In other words, an ...
Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness? Alon Jacovi, Yoav Goldberg · Department of Computer Science.