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.-R. Zhang, Z. Chen et al.
· Journal of Environmental Inf... · 0 citations