Sustainability LLM

Sustainability LLM is a domain-trained language model that reviews ESG disclosures, detects errors or misleading claims, and suggests how to correct them. It helps organizations produce transparent, standards-aligned sustainability reports without relying solely on manual audits.

Project Description

Sustainability LLM is a large language model built to verify the accuracy, completeness, and credibility of corporate ESG disclosures. The system analyzes environmental, social, and governance reports to detect inconsistencies, unsupported claims, missing compliance data, and potential greenwashing. It then generates clear, actionable feedback that explains what is incorrect, why it matters, and how companies can correct or improve their reporting. By combining domain-specific knowledge with advanced text reasoning, Sustainability LLM supports transparent sustainability reporting and reduces the cost and bias of manual ESG audits—empowering organizations to produce trustworthy, standards-aligned disclosures at scale.

Faculty Leads
MCH

Prof. Ming-Chun Huang

Associate Professor, Duke Kunshan University

luyao

Prof. Luyao Zhang

Assistant Professor, Duke Kunshan University

Contributors
WHP

Haipeng Wang

Research Fellow, Duke Kunshan University

CDS

Dongsheng Cheng

Research Fellow, Duke Kunshan University

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