CSR has gained significant importance as stakeholders prioritize ethical, social, and environmental factors when evaluating companies. However, manually analyzing extensive CSR reports to extract key information can be laborious.

Our research intends to explore the utilization of large language models, to automate the analysis of CSR reports. By leveraging the capabilities of NLP and LLMs, we aim to efficiently extract key insights from CSR reports and generate concise summaries regarding the disclosure of CSR indices.