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02/13/2023
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning
Pretrained large language models (LLMs) are able to solve a wide variety...
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02/13/2023
Towards Agile Text Classifiers for Everyone
Text-based safety classifiers are widely used for content moderation and...
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10/14/2020
Six Attributes of Unhealthy Conversation
We present a new dataset of approximately 44000 comments labeled by crow...
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06/01/2020
Toxicity Detection: Does Context Really Matter?
Moderation is crucial to promoting healthy on-line discussions. Although...
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04/11/2020
Classifying Constructive Comments
We introduce the Constructive Comments Corpus (C3), comprised of 12,000 ...
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11/05/2019
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems
Most literature in fairness has focused on improving fairness with respe...
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08/07/2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification
(Bolukbasi et al., 2016) demonstrated that pretrained word embeddings ca...
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03/11/2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Unintended bias in Machine Learning can manifest as systemic differences...
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03/05/2019
Limitations of Pinned AUC for Measuring Unintended Bias
This report examines the Pinned AUC metric introduced and highlights som...
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10/31/2018
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
We present a corpus that encompasses the complete history of conversatio...
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05/14/2018
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
One of the main challenges online social systems face is the prevalence ...
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10/27/2016
