The last two years have seen a rapid growth in concerns around the safety of large
language models (LLMs). Researchers and practitioners have met these concerns by …

Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …

Much recent work seeks to evaluate values and opinions in large language models (LLMs)
using multiple-choice surveys and questionnaires. Most of this work is motivated by …

AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …

The ability of large language models (LLMs) to follow instructions is crucial to real-world
applications. Despite recent advances, several studies have highlighted that LLMs struggle …

Artificial intelligence (AI) hiring tools have revolutionized resume screening, and large
language models (LLMs) have the potential to do the same. However, given the biases …

Model evaluations are central to understanding the safety, risks, and societal impacts of AI
systems. While most real-world AI applications involve human-AI interaction, most current …

Large Language Models (LLMs) excel in diverse areas, yet struggle with complex scientific
reasoning, especially in the field of chemistry. Different from the simple chemistry tasks (eg …

Large language models with instruction-following capabilities open the door to a wider
group of users. However, when it comes to information extraction-a classic task in natural …

Experts in various fields routinely perform methodical writing tasks to plan, organize, and
report their work. From a clinician writing a differential diagnosis for a patient, to a teacher …