Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as general adaptive mutation and crossover …

Large language models have demonstrated outstanding performance on a wide range of
tasks such as question answering and code generation. On a high level, given an input, a …

Cascades are a classical strategy to enable inference cost to vary adaptively across
samples, wherein a sequence of classifiers are invoked in turn. A deferral rule determines …

Large language models (LLMs) have exploded in popularity in the past few years and have
achieved undeniably impressive results on benchmarks as varied as question answering …

As artificial intelligence (AI) models continue to scale up, they are becoming more capable
and integrated into various forms of decision-making systems. For models involved in moral …

One of the most striking findings in modern research on large language models (LLMs) is
that scaling up compute during training leads to better results. However, less attention has …

General purpose deep neural network architectures have made startling advances in
machine learning for code, advancing code completion, enabling natural language …