74 citations
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25 papers
Italian Business-to-Business Invoicing Data: A Network Analysis
Valerio Astuti, Daniele Piras
We present a comprehensive description of the network of Italian Business-to-Business commercial relationships, based on the universe of electronic invoices collected by the Italia…
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3
General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a Gen…
Natural-gas storage modelling by deep reinforcement learning
Tiziano Balaconi, Aldo Glielmo, Marco Taboga
We introduce GasRL, a simulator that couples a calibrated representation of the natural gas market with a model of storage-operator policies trained with deep reinforcement learnin…
Heterogeneous RBCs via Deep Multi-Agent Reinforcement Learning
Federico Gabriele, Aldo Glielmo, Marco Taboga
Current macroeconomic models with agent heterogeneity can be broadly divided into two main groups. Heterogeneous-agent general equilibrium (GE) models, such as those based on Heter…
ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
Riccardo Pozzi, Matteo Palmonari, Andrea Coletta +3
Knowledge gaps and hallucinations are persistent challenges for Large Language Models (LLMs), which generate unreliable responses when lacking the necessary information to fulfill…
A Hitchhiker's Guide to Privacy-Preserving Digital Payment Systems: A Survey on Anonymity, Confidentiality, and Auditability
Matteo Nardelli, Francesco De Sclavis, Michela Iezzi
Crypto-assets and central bank digital currencies (CBDCs) are reshaping how value is exchanged in distributed computing environments. These systems combine cryptographic primitives…