Generative AI
We study the utility of incorporating entity type abstractions into pre-trained Transformers and test these methods on four NLP tasks …
The ALFRED environment features an embodied agent following instructions and accomplishing tasks in simulated home environments. …
Data augmentation is a widely employed technique to alleviate the problem of data scarcity. In this work, we propose a prompting-based …
We outline three research directions towards the practical implementation of explainable, sensible and virtuous chatbots for the …
As producing high-quality summaries of chat dialogues currently requires large labeled datasets, we propose a method to efficiently …
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …
Applications such as disaster management enormously benefit from rapid availability of satellite observations.
Traditionally, data …
In this paper, we explore the use of GAN-based few-shot data augmentation as a method to improve few-shot classification performance. …
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the …