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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.CL2022★ 1 cited
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers
Marco Antonio Stranisci, Giuseppe Spillo, Cataldo Musto +2
Digital media have enabled the access to unprecedented literary knowledge. Authors, readers, and scholars are now able to discover and share an increasing amount of information abo…