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Author

Motaz Saad

3 papers indexed here

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Preprint Sep 2026

Benchmarking Embedding Models for ESG Data

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
#small language model Review Oct 2026

Small Language Models for Smart Data Model Classification at the Edge: A Cost-Aware Hybrid Approach

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
#artificial intelligence Preprint Sep 2026

Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain

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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