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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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05/15/2023
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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12/19/2022
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
Language tasks involving character-level manipulations (e.g., spelling c...
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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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06/30/2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Humans have the remarkable ability to recognize and acquire novel visual...
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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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02/24/2022
Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies
Little is known about what makes cross-lingual transfer hard, since fact...
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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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09/18/2021
ReaSCAN: Compositional Reasoning in Language Grounding
The ability to compositionally map language to referents, relations, and...
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04/17/2021
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
There is growing evidence that pretrained language models improve task-s...
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01/27/2021
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently
How effectively do we adhere to nudges and interventions that help us co...
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01/01/2021
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
BERT, as one of the pretrianed language models, attracts the most attent...
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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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10/15/2020
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) and Targeted ASBA (TABSA) allow f...
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10/10/2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
Neural attention, especially the self-attention made popular by the Tran...
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10/09/2020
Pragmatically Informative Color Generation by Grounding Contextual Modifiers
Grounding language in contextual information is crucial for fine-grained...
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11/22/2019
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
Human emotions unfold over time, and more affective computing research h...
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08/15/2019
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives
Word embedding models such as GloVe are widely used in natural language ...
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07/08/2019