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