A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
Improving grounded language understanding in a collaborative environ- ment by interacting with agents through help feed- back,
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A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.
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A Survey on Large Language Model based Autonomous Agents
A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
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A Survey on Code Generation with LLM-based Agents
A systematic survey of LLM-powered code generation agents that categorizes single-agent and multi-agent architectures, maps their use across the full software development lifecycle, reviews benchmarks and tools, and outlines future challenges.