Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Abstract Automated Planning and Scheduling is among the growing areas in Artificial
Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive …

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Language agents show potential in being capable of utilizing natural language for varied
and intricate tasks in diverse environments, particularly when built upon large language …

We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a
milestone in AI research. GAIA proposes real-world questions that require a set of …

Zero-shot referring expression comprehension aims at localizing bounding boxes in an
image corresponding to provided textual prompts which requires:(i) a fine-grained …

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …

Humans are social beings; we pursue social goals in our daily interactions, which is a
crucial aspect of social intelligence. Yet, AI systems' abilities in this realm remain elusive. We …

This editorial explores the evolving and transformative role of large language models (LLMs)
in enhancing the capabilities of virtual assistants (VAs) in the health care domain …