Accepted discussion papers
A Research Agenda Towards Explainable LLMs
Fabio Mercorio and Navid Nobani
Plain Statistical Terms to Avoid Prejudicial Rejection of Machine Learning in Territorial Data Analysis
Ermanno Zuccarini
Heuristics Approaches for the Influence Maximization Problem on Hypergraphs
Vincenzo Auletta, Francesco Cauteruccio and Diodato Ferraioli
The Importance of Causality in Decision Making: A Perspective on Recommender Systems
Emanuele Cavenaghi, Alessio Zanga, Fabio Stella and Markus Zanker
Hybrid Compilation-based ASP solving
Carmine Dodaro, Giuseppe Mazzotta and Francesco Ricca
Summary of Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization
Damiano Azzolini and Fabrizio Riguzzi
An ASP-based Approach to Network Security in Urban Air Mobility
Gioacchino Sterlicchio and Francesca Alessandra Lisi
Expressing Policies as Epistemic Dependencies in Controlled Query Evaluation (Discussion Paper)
Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati and Domenico Fabio Savo
Impact of Data Reduction on Carbon Footprint and Recommender Systems Performance
Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano and Giovanni Semeraro
Content-based Pre-Training Strategies for KARSs based on GNNs
Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops and Giovanni Semeraro
Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms
Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino and Ilaria Penco
Enhancing Cross-Domain Recommendations with LLMs: The Impact of Instruction and Prompting
Alessandro Petruzzelli, Musto Cataldo, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops and Giovanni Semeraro
On the Complexity of Querying Inconsistent Weighted Knowledge Bases
Thomas Lukasiewicz, Enrico Malizia and Cristian Molinaro
On Counterfactual and Semifactual Explanations in Abstract Argumentation
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi and Irina Trubitsyna
On the need of a formal meta-modeling semantics for knowledge graphs
Roberto Maria Delfino, Maurizio Lenzerini and Antonella Poggi