2 papers
cs.CL2026
MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries
Michele Paolicelli, Alessandro Petruzzelli, Alessandro Franceso Maria Martina +2
The quadratic complexity of dense self-attention remains a central bottleneck for long-context language modeling. Many efficient alternatives address this cost by deciding in advan…
cs.IR2026
Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M
Giuseppe Spillo, Alessandro Petruzzelli, Cataldo Musto +3
As Multimodal Recommender Systems gain interest, high-quality datasets with multimedia side information have become essential. However, much of the current literature reports exper…