This paper aims to benchmark recent progress in language understanding m...
Large pre-trained language models (LMs) have demonstrated impressive
cap...
Prompt learning methods adapt pre-trained language models to downstream
...
Neural language models typically tokenise input text into sub-word units...
Our world is open-ended, non-stationary and constantly evolving; thus wh...
The rapid progress in artificial intelligence (AI) and machine learning ...
We present a generative model for multitask conditional language generat...
Generating from Abstract Meaning Representation (AMR) is an underspecifi...
Multi-agent reinforcement learning offers a way to study how communicati...
We present a dialogue generation model that directly captures the variab...
This paper presents a joint model for performing unsupervised morphologi...