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07/28/2023
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial I...
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05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
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12/13/2022
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition
Despite recent progress in Natural Language Understanding (NLU), the cre...
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10/10/2022
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks
Teacher-student knowledge distillation is a popular technique for compre...
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08/02/2022
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
In this work, we demonstrate that multilingual large-scale sequence-to-s...
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06/15/2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
We present results from a large-scale experiment on pretraining encoders...
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05/26/2022
Differentially Private Decoding in Large Language Models
Recent large-scale natural language processing (NLP) systems use a pre-t...
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12/09/2020
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU
Data sparsity is one of the key challenges associated with model develop...
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12/07/2020
