aceA survey on large language model based autonomous agents
Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autono…
LLM-based autonomous agents leveraging vast Web knowledge show potential for human-level intelligence and enable applications across social science, natural science, and engineering.
Evidence
- Peer-reviewedFrontiers of Computer Science2024-03-22
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Truvace Impact Record TRV-2026-0461, v1: “A survey on large language model based autonomous agents.” Truvace, 2026-07-20. /record/TRV-2026-0461 (accessed at citation time). sha256 c696d2d4c7d9212b…
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