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papersTODAY 04:00 UTC

arXiv paper evaluates open-source LLMs for RAG in ESG reporting

A new arXiv preprint examines how well open-source large language models perform when paired with retrieval-augmented generation for environmental, social, and governance reporting tasks. The authors focus on automating the extraction of key performance indicators from ESG disclosures, a step they describe as important for corporate accountability. The abstract suggests limits in current open-source model performance for this domain.

open-source/rag/benchmarks/esg