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STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning
Recent advances in generative models have made it possible to create high-quality, coherent music, with some systems delivering …
Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
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STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning
Activation Patching for Interpretable Steering in Music Generation
Understanding how large audio models represent music, and using that understanding to steer generation, is both challenging and …
Simone Facchiano, Giorgio Strano, Donato Crisostomi, Irene Tallini, Tommaso Mencattini, Fabio Galasso, Emanuele Rodolà
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Activation Patching for Interpretable Steering in Music Generation
LoopGen: Training-Free Loopable Music Generation
Loops–short audio segments designed for seamless repetition–are central to many music genres, particularly those rooted in …
Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà
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LoopGen: Training-Free Loopable Music Generation
MASS: MoErging through Adaptive Subspace Selection
Model merging has recently emerged as a lightweight alternative to ensembling, combining multiple fine-tuned models into a single set …
Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
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MASS: MoErging through Adaptive Subspace Selection
Humanity's Last Exam
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are …
More than 600 authors including, Donato Crisostomi, Emanuele Rodolà
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Humanity's Last Exam
ATM: Improving Model Merging by Alternating Tuning and Merging
Model merging has recently emerged as a cost-efficient paradigm for multi-task learning. Among current approaches, task arithmetic …
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà
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ATM: Improving Model Merging by Alternating Tuning and Merging