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Mario Alviano

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Open access Sep 2026

Integrating Answer Set Programming and Large Language Models for Reliable Structured Knowledge Extraction

Answer Set Programming (ASP) and Large Language Models (LLMs) offer complementary strengths in symbolic reasoning and natural language understanding. In this work, we present an integrated framework for reliable structured knowledge extraction from natural language that combines the syntactic capabilities of LLMs with...

Mario Alviano, Matteo Capalbo, G. Gottlob et al. · 0 citations

A Declarative Framework for Constrained Clique Detection in Heterogeneous Knowledge Graphs via ASP

This work presents a data-driven framework designed to bridge the gap between interactive exploration and formal logic reasoning, which allows researchers to interactively validate complex hypotheses and uncover latent clusters that would be difficult to identify through traditional imperative filtering.

Mario Alviano, Eleonora Bilotta, Pierpaolo Sestito · 0 citations
Conference Open access Jul 2026

ALM–ASP: A Functional Agentic Architecture for Answer Set Programming

An empirical evaluation shows that ALM–ASP significantly improves both syntactic validity and end-to-end correctness over general-purpose LLM baselines, and also achieves improved instance coverage compared to the closest agentic alternative, CP–Agent.

L. A. R. Reiners, Alice Tarzariol, Mario Alviano et al. · 0 citations

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