The preliminary results of an Open Information Extraction task, based on Large Language Models, to obtain structured business-related data from documents about climate change, with specifically focus on the performance of a European model, Mistral, compared to similar commercial US models.
The extraction of structured information from unstructured documents represents a critical component of digital transformations in all sectors. While proprietary solutions dominate commercial applications, a rapidly growing ecosystem of open-source Optical Character Recognition (OCR) engines, Large Language Models (LLM...
CorporateBench (CB), a human-validated multi-task Q&A benchmark whose scale approaches the conditions LLMs encounter in corporate communication networks, is presented, with evaluation corpora surpassing 230,000 documents.
Sil Hamilton, A. Sun, Óscar Romero et al.· 1 citation
Much of agriculture depends on open-source software spanning farm management platforms, cloud services, edge gateways, embedded systems, and field-deployed sensors, forming a domain-specific software supply chain that has drawn little empirical security attention. It is unknown whether this ecosystem's supply chain sec...
Vatsal Dudhaiya, Mikhail Golovenchits, Aryana Banerjee et al.· 0 citations
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
Research on e-government and digital transformation is widely seen as conceptually fragmented. Existing literature reviews address this through either systematic literature reviews (SLRs), which offer depth but risk selection bias, or bibliometric methods, which scale well but yield generic, low-resolution findings. Th...
Effective risk management is crucial yet challenging in modern projects because early warning signals often surface in informal, unstructured data sources and evolve as project contexts change. Since prevailing project risk management (PRM) practices largely depend on structured inputs and episodic control routines, th...
Felix Paetzold, T. Guggenberger, T. Jungk et al.· Electronic Markets· 0 citations
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