Despite readily memorizing world knowledge about entities, pre-trained
l...
Transformers are central to recent successes in natural language process...
Point clouds are rich geometric data structures, where their three
dimen...
Despite recent progress, it has been difficult to prevent semantic
hallu...
Scaling language models improves performance but comes with significant
...
Soft prompts have been recently proposed as a tool for adapting large fr...
Parameter-efficient methods are able to use a single frozen pre-trained ...
Encoder-decoder transformer architectures have become popular recently w...
Generating natural sentences from Knowledge Graph (KG) triples, known as...
We propose a simple method to generate large amounts of multilingual que...
We propose an end-to-end approach for synthetic QA data generation. Our ...
Passage retrieval addresses the problem of locating relevant passages,
u...
The web contains a vast corpus of HTML tables. They can be used to provi...
Tables extracted from web documents can be used to directly answer many ...
Generating paraphrases that are lexically similar but semantically diffe...
Complex deep learning models now achieve state of the art performance fo...
Optimal selection of a subset of items from a given set is a hard proble...
Recent advances in spoken language technologies and the introduction of ...