Large Language Models (LLMs) have recently transformed both the academic and industrial
landscapes due to their remarkable capacity to understand, analyze, and generate texts …

Abstract Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest
and attention since its launch in November 2022. It has shown impressive performance in …

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

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 …

Reinforcement learning from human feedback (RLHF) is a technique for training AI systems
to align with human goals. RLHF has emerged as the central method used to finetune state …

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 …

Generative search engines directly generate responses to user queries, along with in-line
citations. A prerequisite trait of a trustworthy generative search engine is verifiability, ie …

Human feedback is commonly utilized to finetune AI assistants. But human feedback may
also encourage model responses that match user beliefs over truthful ones, a behaviour …

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 …

Large language models (LLMs) are fine-tuned using human comparison data with
Reinforcement Learning from Human Feedback (RLHF) methods to make them better …