The field of private equity is still very young, and research on the topic is in its infancy. Despite
a considerable amount of research in the recent past, so far, there has been no review of …

Ralph Waldo emerson an American essayist once said,“Do not go where the path may lead;
go instead where there is no path and leave a trail”, that was the convocation message to …

Learning from demonstrations is a common way for users to teach robots, but it is prone to
spurious feature correlations. Recent work constructs state abstractions, ie visual …

This paper studies Code-Text Representation (CTR) learning, aiming to learn general-purpose
representations that support downstream code/text applications such as code search, …

Large language models (LLMs) have been shown to exhibit a wide range of capabilities,
such as writing robot code from language commands -- enabling non-experts to direct robot …

Augmenting pre-trained language models with knowledge graphs (KGs) has achieved success
on various commonsense reasoning tasks. However, for a given task instance, the KG, or …

Current approaches for fixing systematic problems in NLP models (eg regex patches,
finetuning on more data) are either brittle, or labor-intensive and liable to shortcuts. In contrast, …