2 papers
cs.SE2026
SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts
Giovanni Pio Delvecchio, Stefano Fantazzini, Giacomo Frisoni +4
Large language models increasingly generate Solidity smart contracts that, once deployed, can never be patched, making a single latent fault permanent and exploitable. Yet current…
cs.AI2026
FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System
Lorenzo Molfetta, Alessio Cocchieri, Stefano Fantazzini +3
Hierarchical text classification (HTC) and extreme multi-label classification (XML) tasks face compounded challenges from complex label interdependencies, data sparsity, and extrem…