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

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

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 …

We introduce Lemur and Lemur-Chat, openly accessible language models optimized for
both natural language and coding capabilities to serve as the backbone of versatile …

We introduce Lumos, a novel framework for training language agents that employs a unified
data format and a modular architecture based on open-source large language models …

Large Language Model (LLM) agents, capable of performing a broad range of actions, such
as invoking tools and controlling robots, show great potential in tackling real-world …

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 …

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 …

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