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M. Zhang

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Open access 2026

Carbon Footprint Accounting Driven by Large Language Models and Retrieval-Augmented Generation

LLMs-RAG-CFA, a unified framework that combines large language models with retrieval-augmented generation (RAG) to deliver real-time, reliable, cost-efficient, and privacy-preserving CFA, offers a scalable, practical pathway for real-time carbon emission monitoring and supports improved sustainability practices.

H.-J. Wang, M. Zhang, Z. Chen et al. · 0 citations