The robustness of LLMs to jailbreak attacks, where users design prompts to circumvent
safety measures and misuse model capabilities, has been studied primarily for LLMs acting …

Large language models (LLMs) are becoming increasingly prevalent in modern software
systems, interfacing between the user and the internet to assist with tasks that require …

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 …

The rapid progress in the reasoning capability of the Multi-modal Large Language Models
(MLLMs) has triggered the development of autonomous agent systems on mobile devices …

Vision-language artificial intelligence models (VLMs) possess medical knowledge and can
be employed in healthcare in numerous ways, including as image interpreters, virtual …

Autonomous agents powered by large language models (LLMs) show promising potential in
assistive tasks across various domains, including mobile device control. As these agents …

With the rapidly increasing capabilities and adoption of code agents for AI-assisted coding,
safety concerns, such as generating or executing risky code, have become significant …

Human-AI conversations have gained increasing attention since the era of large language
models. Consequently, more techniques, such as input/output guardrails and safety …

Large Language Model (LLM) agents are increasingly being deployed as conversational
assistants capable of performing complex real-world tasks through tool integration. This …

As large language models (LLMs) are increasingly deployed as agents, their integration into
interactive environments and tool use introduce new safety challenges beyond those …