Retrieval augmented models show promise in enhancing traditional languag...
One of the goals in Federated Learning (FL) is to create personalized mo...
Recent work has shown that language models (LMs) trained with multi-task...
Although adapting pre-trained language models with few examples has show...
Pre-trained language models (LMs) have been shown to memorize a substant...
Most recent progress in natural language understanding (NLU) has been dr...
We study the problem of multilingual automated reply suggestions (RS) mo...
Albeit the universal representational power of pre-trained language mode...
Building quality machine learning models for natural language understand...
Reply suggestion models help users process emails and chats faster. Prev...
The combination of multilingual pre-trained representations and cross-li...
State-of-the-art deep neural networks require large-scale labeled traini...
Email remains one of the most frequently used means of online communicat...
Leveraging weak or noisy supervision for building effective machine lear...
How to model distribution of sequential data, including but not limited ...
Variational inference for latent variable models is prevalent in various...