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<p>With the growing global focus on sustainability, the demand for ESG reports that meet international guidelines is rising. However, existing systems often face incomplete datasets and unclear methodologies. This study proposes a novel method integrating ChatGPT-4o with an ESG-enhanced hybrid RAG (ESGH-RAG) for ESG report generation, utilizing a high-performance computing (HPC) environment to enhance processing speed. This method introduces two key innovations: first, ESGH-RAG allows for the retrieval of ESG guidelines and dynamically adjusts retrieval methods; second, ChatGPT-4o Report Synthesizer (CRS) generates reports through a multi-prompt module. This method was tested using real-world ESG datasets from publicly listed companies, with experiments conducted on two hardware setups. Results show that in an HPC environment, report generation is faster, and the method outperforms existing approaches in generating high-quality ESG reports. ESGH-RAG achieved 92.1% accuracy, surpassing reference methods.</p>

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An innovative ESGH-RAG module with ChatGPT-4o for automatic ESG-report generation

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Jhing-Fa Wang,
  • Wen-Yuan Zhang,
  • Shih-Pang Tseng

摘要

With the growing global focus on sustainability, the demand for ESG reports that meet international guidelines is rising. However, existing systems often face incomplete datasets and unclear methodologies. This study proposes a novel method integrating ChatGPT-4o with an ESG-enhanced hybrid RAG (ESGH-RAG) for ESG report generation, utilizing a high-performance computing (HPC) environment to enhance processing speed. This method introduces two key innovations: first, ESGH-RAG allows for the retrieval of ESG guidelines and dynamically adjusts retrieval methods; second, ChatGPT-4o Report Synthesizer (CRS) generates reports through a multi-prompt module. This method was tested using real-world ESG datasets from publicly listed companies, with experiments conducted on two hardware setups. Results show that in an HPC environment, report generation is faster, and the method outperforms existing approaches in generating high-quality ESG reports. ESGH-RAG achieved 92.1% accuracy, surpassing reference methods.