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09/19/2023
Rigorously Assessing Natural Language Explanations of Neurons
Natural language is an appealing medium for explaining how large languag...
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05/30/2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
A number of recent benchmarks seek to assess how well models handle natu...
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05/15/2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Obtaining human-interpretable explanations of large, general-purpose lan...
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03/05/2023
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Causal abstraction is a promising theoretical framework for explainable ...
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01/11/2023
Causal Abstraction for Faithful Model Interpretation
A faithful and interpretable explanation of an AI model's behavior and i...
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11/22/2022
Causal Abstraction with Soft Interventions
Causal abstraction provides a theory describing how several causal model...
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09/28/2022
Causal Proxy Models for Concept-Based Model Explanations
Explainability methods for NLP systems encounter a version of the fundam...
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05/27/2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
The increasing size and complexity of modern ML systems has improved the...
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12/05/2021
Causal Distillation for Language Models
Distillation efforts have led to language models that are more compact a...
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12/01/2021
Inducing Causal Structure for Interpretable Neural Networks
In many areas, we have well-founded insights about causal structure that...
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06/06/2021
Causal Abstractions of Neural Networks
Structural analysis methods (e.g., probing and feature attribution) are ...
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12/30/2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis
We introduce DynaSent ('Dynamic Sentiment'), a new English-language benc...
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06/14/2020
Relational reasoning and generalization using non-symbolic neural networks
Humans have a remarkable capacity to reason about abstract relational st...
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04/30/2020
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models
In adversarial (challenge) testing, we pose hard generalization tasks in...
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11/03/2019
Posing Fair Generalization Tasks for Natural Language Inference
Deep learning models for semantics are generally evaluated using natural...
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10/30/2018