The use of Environmental, Social, and Governance (ESG) data is fundamental for modern corporate accountability, sustainability reporting, and financial decision-making. Embedding models have emerged as a powerful approach for transforming unstructured ESG text into numerical representations suitable for downstream natu...
Motaz Saad, Veronica Cretì, Ivan Gentile et al.· 0 citations
This study evaluates the performance of lightweight open-source language models to resolve an input data entity against its corresponding best fitting SDM representation under resource-constrained conditions and provides significant and valuable insights into model selection, task formulation, and deployment strategies...
Cristian Martella, A. Martella, Antonella Longo et al.· 0 citations
Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) offering strong potential to automate KPI extraction. However, open-source LLM performance in domain-specific ESG tasks remains insufficiently unders...
Motaz Saad, Anna Borrelli, Ivan Gentile et al.· 0 citations
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