WebAssembly has is renowned for its efficiency and security in browser
e...
Memory-augmentation is a powerful approach for efficiently incorporating...
Retrieval-augmented language models such as Fusion-in-Decoder are powerf...
Fusion-in-Decoder (FiD) is a powerful retrieval-augmented language model...
Natural language understanding tasks such as open-domain question answer...
We present an instance-based nearest neighbor approach to entity linking...
In this work, we present an entity linking model which combines a Transf...
We focus on the problem of capturing declarative knowledge in the learne...
Language modeling tasks, in which words, or word-pieces, are predicted o...
General purpose relation extractors, which can model arbitrary relations...
We present a new large-scale corpus of Question-Answer driven Semantic R...
LSTMs were introduced to combat vanishing gradients in simple RNNs by
au...