Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Talking about Large Language Models Page 1 key insights ˽ As LLMs become more powerful,
it becomes increasingly tempting to describe LLM-based dialog agents in human-like terms …

We survey a current, heated debate in the artificial intelligence (AI) research community on
whether large pretrained language models can be said to understand language—and the …

Recent advances in large language models (LLMs) have transformed the field of natural
language processing (NLP). From GPT-3 to PaLM, the state-of-the-art performance on …

Can world knowledge learned by large language models (LLMs) be used to act in
interactive environments? In this paper, we investigate the possibility of grounding high-level …

This paper explores the limits of the current generation of large language models for
program synthesis in general purpose programming languages. We evaluate a collection of …

Large pre-trained language models perform remarkably well on tasks that can be done" in
one pass", such as generating realistic text or synthesizing computer programs. However …