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Causal Abstractions of Neural Networks
Structural analysis methods (e.g., probing and feature attribution) are ...
06/06/2021 ∙ by Atticus Geiger, et al. ∙
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DynaSent: A Dynamic Benchmark for Sentiment Analysis
We introduce DynaSent ('Dynamic Sentiment'), a new English-language benc...
12/30/2020 ∙ by Christopher Potts, et al. ∙
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Relational reasoning and generalization using non-symbolic neural networks
Humans have a remarkable capacity to reason about abstract relational st...
06/14/2020 ∙ by Atticus Geiger, et al. ∙
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Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models
In adversarial (challenge) testing, we pose hard generalization tasks in...
04/30/2020 ∙ by Atticus Geiger, et al. ∙
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Posing Fair Generalization Tasks for Natural Language Inference
Deep learning models for semantics are generally evaluated using natural...
11/03/2019 ∙ by Atticus Geiger, et al. ∙
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Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences
Standard evaluations of deep learning models for semantics using natural...
10/30/2018 ∙ by Atticus Geiger, et al. ∙
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