Automatically disentangling an author's style from the content of their
...
Methods such as chain-of-thought prompting and self-consistency have pus...
We analyze the problem of job scheduling with preempting on weighted job...
We introduce new planning and reinforcement learning algorithms for
disc...
We study the problem of imitating object interactions from Internet vide...
Successful material selection is critical in designing and manufacturing...
Robust classification is essential in tasks like autonomous vehicle sign...
Artificial intelligence (AI) and machine learning (ML) are expanding in
...
Linear and Quadratic Discriminant Analysis are well-known classical meth...
Large pre-trained language models are often trained on large volumes of
...
During the COVID-19 pandemic, policy makers at the Greater London Author...
In this research, we continuously collect data from the RSS feeds of
tra...
In planning and scheduling, solving problems with both state and tempora...