Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Machine learning models that convert user-written text descriptions into images are now
widely available online and used by millions of users to generate millions of images a day …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

If large language models like GPT-3 preferably produce a particular point of view, they may
influence people's opinions on an unknown scale. This study investigates whether a …

Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

The recent release of ChatGPT has garnered widespread recognition for its exceptional
ability to generate human-like responses in dialogue. Given its usage by users from various …

Large Language Models (LLMs) have made substantial progress in the past several months,
shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' …

Language embeds information about social, cultural, and political values people hold. Prior
work has explored social and potentially harmful biases encoded in Pre-Trained Language …

As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …