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05/17/2023
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Data contamination has become especially prevalent and challenging with ...
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05/04/2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
Word-level saliency explanations ("heat maps over words") are often used...
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01/13/2023
Trends in Explainable AI (XAI) Literature
The XAI literature is decentralized, both in terminology and in publicat...
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01/27/2022
Human Interpretation of Saliency-based Explanation Over Text
While a lot of research in explainable AI focuses on producing effective...
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01/27/2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
When explaining AI behavior to humans, how is the communicated informati...
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03/02/2021
Contrastive Explanations for Model Interpretability
Contrastive explanations clarify why an event occurred in contrast to an...
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10/15/2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Trust is a central component of the interaction between people and AI, i...
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10/07/2020
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
The process of collecting and annotating training data may introduce dis...
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06/01/2020
Aligning Faithful Interpretations with their Social Attribution
We find that the requirement of model interpretations to be faithful is ...
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06/01/2020
When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions
A growing body of work makes use of probing in order to investigate the ...
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04/07/2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
With the growing popularity of deep-learning based NLP models, comes a n...
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10/29/2019
Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning
We consider the situation in which a user has collected a small set of d...
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01/13/2019
Neural network gradient-based learning of black-box function interfaces
Deep neural networks work well at approximating complicated functions wh...
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09/21/2018
Understanding Convolutional Neural Networks for Text Classification
We present an analysis into the inner workings of Convolutional Neural N...
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04/24/2018
