ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry

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Abstract

The architectural industry produces extensive documents, including method statements—expository documents that integrate multi-source data into actionable guidance. Manual drafting however is labor-intensive and time-consuming. This paper introduces ArchiDocGen, a multi-agent framework automating method statement generation. Unlike traditional approaches relying on static templates or single-pass generation, ArchiDocGen decomposes the task into three steps: outline generation, section-based content generation, and polishing, each handled by specialized agents. To provide domain expertise, ArchiDocGen employs a section-based retriever to fetch and synthesize relevant documents from its custom knowledge base. Each section is generated through iterative reasoning of a section-based chain-of-thought (SeCoT) scheme, followed by refinement to meet professional standards. To evaluate the generated method statements, we partner with the industry to establish a multidimensional evaluation system by combining automatic and empirical methods. Experiments show that ArchiDocGen achieves 4.38 ContentScore, excelling in specialization, completeness, organization, and clarity. Additionally, a web-based application for ArchiDocGen is developed and deployed with industry partners1

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APA

Jiang, J., Wu, H., Zhang, Y., Guo, S., Liu, B., Cao, C. C., … Chen, L. (2025). ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 6, pp. 605–618). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-industry.43

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