Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to
process and generate text. LLMs attracted substantial public attention after OpenAI's …

Summary Large Language Models (LLMs) are a key component of generative artificial
intelligence (AI) applications for creating new content including text, imagery, audio, code …

Believable proxies of human behavior can empower interactive applications ranging from
immersive environments to rehearsal spaces for interpersonal communication to prototyping …

Many NLP applications require manual text annotations for a variety of tasks, notably to train
classifiers or evaluate the performance of unsupervised models. Depending on the size and …

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 …

Abstract Language models (LMs) are increasingly being used in open-ended contexts,
where the opinions they reflect in response to subjective queries can have a profound …

The recent advent of large language models has reinvigorated debate over whether human
cognitive capacities might emerge in such generic models given sufficient training data. Of …

We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

Recent work suggests that language models such as GPT can make human-like judgments
across a number of domains. We explore whether and when language models might …

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 …