Data scarcity is a crucial issue for the development of highly multiling...
Motion planning and control in autonomous car racing are one of the most...
Despite cross-lingual generalization demonstrated by pre-trained multili...
In this position paper, we propose a new approach to generating a type o...
Comprehending an article requires understanding its constituent events.
...
The development of safety applications for Connected Automated Vehicles
...
The predominant challenge in weakly supervised semantic parsing is that ...
Compositional, structured models are appealing because they explicitly
d...
The recent success of machine learning systems on various QA datasets co...
Generalization of models to out-of-distribution (OOD) data has captured
...
Neural module networks (NMNs) are a popular approach for modeling
compos...
With the advent of powerful neural language models over the last few yea...
Standard test sets for supervised learning evaluate in-distribution
gene...
Although modern named entity recognition (NER) systems show impressive
p...
Answering compositional questions that require multiple steps of reasoni...
The rapid growth of connected and automated vehicle (CAV) solutions have...
Cross-lingual Entity Linking (XEL) aims to ground entity mentions writte...
Answering compositional questions requiring multi-step reasoning is
chal...