Autonomous agents

Evaluating Large Language Models (LLMs) as agents in interactive environments, highlighting the performance gap between API-based and open-source models, and introducing the AgentBench benchmark.

The paper surveys large language model-based autonomous agents, discussing their construction, applications across various domains, and evaluation strategies, while proposing a unified framework and identifying future research directions.