Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
Yihong Tang, Kehai Chen, Liang Yue, Jinxin Fan, Caishen Zhou, Xiaoguang Li, Yuyang Zhang, Mingming Zhao, Shixiong Kai, Kaiyang Guo, Xingshan Zeng, Wenjing Cun, Lifeng Shang, Min Zhang

TL;DR
This survey reviews the technological advancements, industry applications, and evaluation methods of LLM-driven industry agents, highlighting their evolution from simple process systems to complex autonomous and social systems.
Contribution
It provides a comprehensive framework and analysis of the current state, challenges, and future directions of industry agents based on large language models.
Findings
Key technological pillars: Memory, Planning, Tool Use.
Applications span digital engineering, scientific discovery, and more.
Evaluation challenges include authenticity, safety, and industry-specific benchmarks.
Abstract
With the rise of large language models (LLMs), LLM agents capable of autonomous reasoning, planning, and executing complex tasks have become a frontier in artificial intelligence. However, how to translate the research on general agents into productivity that drives industry transformations remains a significant challenge. To address this, this paper systematically reviews the technologies, applications, and evaluation methods of industry agents based on LLMs. Using an industry agent capability maturity framework, it outlines the evolution of agents in industry applications, from "process execution systems" to "adaptive social systems." First, we examine the three key technological pillars that support the advancement of agent capabilities: Memory, Planning, and Tool Use. We discuss how these technologies evolve from supporting simple tasks in their early forms to enabling complex…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Transformation in Industry · Multi-Agent Systems and Negotiation · Flexible and Reconfigurable Manufacturing Systems
