Recent empirical evidence indicates that transformer based in-context
le...
Effective scaling and a flexible task interface enable large language mo...
The ability to read and reason about texts in an image is often lacking ...
Recent neural network-based language models have benefited greatly from
...
Despite recent advances in its theoretical understanding, there still re...
Sequence generation models trained with teacher-forcing suffer from issu...
Multi-sentence summarization is a well studied problem in NLP, while
gen...
Increasing model size when pretraining natural language representations ...
Neural models for abstractive summarization tend to achieve the best
per...
We introduce a new multi-modal task for computer systems, posed as a com...