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Causal Abstraction for Faithful Model Interpretation
A faithful and interpretable explanation of an AI model's behavior and internal structure is a high-level explanation that is human-intelligible but also consistent with the known, but often opaque low-level causal details of the model.
Posing Fair Generalization Tasks for Natural Language Inference
Deep learning models for semantics are generally evaluated using naturalistic corpora.
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