Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Large Language Models (LLMs) are a type of artificial intelligence that uses information from
very large datasets to model the use of language and generate content. While LLMs like …

Large language models (LLMs) are increasingly becoming all-powerful and pervasive via
deployment in sociotechnical systems. Yet these language models, be it for classification or …

As generative large language models (LLMs) grow more performant and prevalent, we must
develop comprehensive enough tools to measure and improve their fairness. Different …

Vision-language models (VLMs) have recently demonstrated strong efficacy as visual
assistants that can parse natural queries about the visual content and generate human-like …

Although planning is a crucial component of the autonomous driving stack, researchers
have yet to develop robust planning algorithms that are capable of safely handling the …

Logical reasoning is a fundamental aspect of human intelligence and a key component of
tasks like problem-solving and decision-making. Recent advancements have enabled Large …

Several recent advances in AI systems (eg, Tree-of-Thoughts and Program-Aided Language
Models) solve problems by providing a" scaffolding" program that structures multiple calls to …

When writing and talking, people sometimes pause to think. Although reasoning-focused
works have often framed reasoning as a method of answering questions or completing …

Large Language Models (LLMs) have made unprecedented breakthroughs, yet their
increasing integration into everyday life might raise societal risks due to generated unethical …