Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …

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

Large language models (LLMs) such as ChatGPT have seen widespread adoption due to
their ability to follow user instructions well. Developing these LLMs involves a complex yet …

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 …

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 …

Collecting data is one of the bottlenecks of Human-Computer Interaction (HCI) research.
Motivated by this, we explore the potential of large language models (LLMs) in generating …

Large language models (LLMs) may not equitably represent diverse global perspectives on
societal issues. In this paper, we develop a quantitative framework to evaluate whose …

This paper presents a case study on the design, administration, post-processing, and
evaluation of surveys on large language models (LLMs). It comprises two components:(1) A …