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08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
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05/28/2023
Targeted Data Generation: Finding and Fixing Model Weaknesses
Even when aggregate accuracy is high, state-of-the-art NLP models often ...
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05/15/2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
Sharing medical reports is essential for patient-centered care. A recent...
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12/19/2022
Synthetic Pre-Training Tasks for Neural Machine Translation
Pre-training is an effective technique for ensuring robust performance o...
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10/14/2022
Controlling Bias Exposure for Fair Interpretable Predictions
Recent work on reducing bias in NLP models usually focuses on protecting...
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10/14/2022
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
Debiasing methods in NLP models traditionally focus on isolating informa...
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03/06/2022
Leashing the Inner Demons: Self-Detoxification for Language Models
Language models (LMs) can reproduce (or amplify) toxic language seen dur...
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09/25/2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
Radiology report generation aims at generating descriptive text from rad...
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09/24/2021