As large-scale language models increasingly impact safety-critical domains, ensuring their
reliable adherence to well-defined principles remains a fundamental challenge. We …

The recent introduction of large language models (LLMs) has revolutionized the field of
robotics by enabling contextual reasoning and intuitive human-robot interaction in domains …

We introduce Llama Guard 3 Vision, a multimodal LLM-based safeguard for human-AI
conversations that involves image understanding: it can be used to safeguard content for …

The reasoning abilities of Large Language Models (LLMs) have demonstrated remarkable
advancement and exceptional performance across diverse domains. However, leveraging …

The safety alignment of large language models (LLMs) remains vulnerable, as their initial
behavior can be easily jailbroken by even relatively simple attacks. Since infilling a fixed …

Generative Foundation Models (GenFMs) have emerged as transformative tools. However,
their widespread adoption raises critical concerns regarding trustworthiness across …

Self-awareness, ie, the ability to assess and correct one's own generation, is a fundamental
aspect of human intelligence, making its replication in large language models (LLMs) an …

The integration of slow-thinking mechanisms into large language models (LLMs) offers a
promising way toward achieving Level 2 AGI Reasoners, as exemplified by systems like …