Large language models (LLMs) are one of the most impressive achievements of artificial
intelligence in recent years. However, their relevance to the study of language more broadly …

Large Language Models (LLMs) have shown extraordinary capabilities in understanding
and generating text that closely mirrors human communication. However, a primary …

BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks
believed to be beyond the capabilities of current language models. Language models have …

Task planning can require defining myriad domain knowledge about the world in which a
robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to …

Large language models (LLMs) are increasingly adopted for a variety of tasks with implicit
graphical structures, such as planning in robotics, multi-hop question answering or …

Recent works successfully leveraged Large Language Models'(LLM) abilities to capture
abstract knowledge about world's physics to solve decision-making problems. Yet, the …

The impressive performance of recent language models across a wide range of tasks
suggests that they possess a degree of abstract reasoning skills. Are these skills general …

The capabilities of large language models (LLMs) have sparked debate over whether such
systems just learn an enormous collection of superficial statistics or a set of more coherent …

Modern machine learning has subverted and bypassed the theoretical framework of
Chomsky's generative approach to linguistics, including its core claims to particular insights …

Scaling up language models has been shown to predictably improve performance and
sample efficiency on a wide range of downstream tasks. This paper instead discusses an …