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06/06/2023
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction
Task-oriented dialogues often require agents to enact complex, multi-ste...
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03/25/2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Multiple metrics have been introduced to measure fairness in various nat...
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03/16/2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity
With the rapid growth in language processing applications, fairness has ...
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06/21/2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Existing bias mitigation methods to reduce disparities in model outcomes...
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06/04/2021
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
Continuity of care is crucial to ensuring positive health outcomes for p...
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01/27/2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Recent advances in deep learning techniques have enabled machines to gen...
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05/26/2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Intermediate-task training has been shown to substantially improve pretr...
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05/01/2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natur...
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03/04/2020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
We introduce jiant, an open source toolkit for conducting multitask and ...
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05/02/2019