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preprint2025

EulerESG: Automating ESG Disclosure Analysis with LLMs

Yi Ding, Xushuo Tang, Zhengyi Yang*, Wenqian Zhang, Simin Wu, Yuxin Huang, Lingjing Lan, Weiyuan Li, Yin Chen, Mingchen Ju, Wenke Yang, Thong Hoang, Mykhailo Klymenko, Xiwei Xu, Wenjie Zhang

arXiv

RAIDS Lab Authors

Zhengyi Yang
Zhengyi Yang
(corresponding author)
Director

Details

Year
2025
Venue
arXiv

Research Area

Data for Real-World Applications

Tags

ESGReportingNLPLLM

Resources

arXiv ↗

Abstract

Environmental, Social, and Governance (ESG) reports have become central to how companies communicate climate risk, social impact, and governance practices, yet they are still published primarily as long, heterogeneous PDF documents. This makes it difficult to systematically answer seemingly simple questions. Existing tools either rely on brittle rule-based extraction or treat ESG reports as generic text, without explicitly modelling the underlying reporting standards. We present EulerESG, an LLM-powered system for automating ESG disclosure analysis with explicit awareness of ESG frameworks. EulerESG combines (i) dual-channel retrieval and LLM-driven disclosure analysis over ESG reports, and (ii) an interactive dashboard and chatbot for exploration, benchmarking, and explanation. Using four globally recognised companies and twelve SASB sub-industries, we show that EulerESG can automatically populate standard-aligned metric tables with high fidelity (up to 0.95 average accuracy) while remaining practical in end-to-end runtime, and we compare several recent LLM models in this setting. The full implementation, together with a demonstration video, is publicly available at https://github.com/UNSW-database/EulerESG.

Author Affiliations

Yi Ding
University of New South Wales
Xushuo Tang
University of New South Wales
Zhengyi Yang
University of New South Wales
Wenqian Zhang
University of New South Wales
Simin Wu
Eigenflow AI
Yuxin Huang
Euler AI
Lingjing Lan
University of New South Wales
Weiyuan Li
University of New South Wales
Yin Chen
University of Technology Sydney
Mingchen Ju
University of New South Wales
Wenke Yang
University of New South Wales
Thong Hoang
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61
Mykhailo Klymenko
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61
Xiwei Xu
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Data61
Wenjie Zhang
University of New South Wales

BibTeX

@misc{ding2025euleresg,
  title = {EulerESG: Automating ESG Disclosure Analysis with LLMs},
  author = {Yi Ding and Xushuo Tang and Zhengyi Yang and Wenqian Zhang and Simin Wu and Yuxin Huang and Lingjing Lan and Weiyuan Li and Yin Chen and Mingchen Ju and Wenke Yang and Thong Hoang and Mykhailo Klymenko and Xiwei Xu and Wenjie Zhang},
  year = {2025},
  eprint = {2511.21712},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  url = {https://arxiv.org/abs/2511.21712}
}