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 …

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

With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …

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

Recent advances on large language models (LLMs) enable researchers and developers to
build autonomous language agents that can automatically solve various tasks and interact …

Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …

A pivotal aim in contemporary AI research is to develop agents proficient in multi-agent
coordination, enabling effective collaboration with both humans and other systems. Large …

The massive successes of large language models (LLMs) encourage the emerging
exploration of LLM-augmented Autonomous Agents (LAAs). An LAA is able to generate …

Recent large language models (LLMs) have demonstrated great potential toward intelligent
agents and next-gen automation, but there currently lacks a systematic benchmark for …

The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …