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The Independence Prior of SAEs Fragments Visual Concepts
Sparse Autoencoders (SAEs) decompose model activations into sparse combinations of interpretable dictionary atoms. Although SAEs are …
Tommaso Mencattini, Giorgos Nikolaou, Donato Crisostomi, Thomas Fel, Francesco Montagna, Emanuele Rodolà, Francesco Locatello
arXiv
The Independence Prior of SAEs Fragments Visual Concepts
Rubric-Calibrated Preferences: Cross-Query Calibration of LLM Judgments via Item Response Theory
Rerankers decide which documents users and LLMs see, yet their standard metric, nDCG, relies on human relevance labels that are costly, …
Fabian David Schmidt, Donato Crisostomi, Carlos Lassance, Nils Reimers
arXiv GitHub
Rubric-Calibrated Preferences: Cross-Query Calibration of LLM Judgments via Item Response Theory
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
Diffusion Language Models (DLMs) have recently emerged as a promising alternative to autoregressive models. Unlike standard …
Maximo Eduardo Rulli, Thomas Vaitses Fontanari, Simone Petruzzi, Federico Alvetreti, Giorgio Strano, Donato Crisostomi, Giorgos Nikolaou, Tommaso Mencattini, Andrea Santilli, Emanuele Rodolà, Simone Scardapane, Alessio Devoto
arXiv
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
Steering Vectors are an Adversarial Attack Surface
Activation steering has become a popular way to control Large Language Model (LLM) behavior without fine-tuning. Since the technique is …
Abzal Aidakhmetov, Donato Crisostomi, Tommaso Mencattini, Adrian Robert Minut, Iacopo Masi, Emanuele Rodolà
arXiv
Steering Vectors are an Adversarial Attack Surface
PHALAR: Phasors for Learned Musical Audio Representations
Stem retrieval, the task of matching missing stems to a given audio submix, is a key challenge currently limited by models that discard …
Davide Marincione, Michele Mancusi, Giorgio Strano, Luca Cerovaz, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà
arXiv
PHALAR: Phasors for Learned Musical Audio Representations
Post-AGI Science and Society Workshop
The Post-AGI Science and Society Workshop at ICLR 2026 asks what comes next if AGI becomes ubiquitous, reliable, and affordable, and …
Donato Crisostomi, Andrea Santilli, Pratyusha Sharma, Valentina Pyatkin, Zorah Lähner, Emanuele Rodolà
URL
Post-AGI Science and Society Workshop
Multi-objective Evolutionary Merging Enables Efficient Reasoning Models
Reasoning models have demonstrated remarkable capabilities in solving complex problems by leveraging long chains of thought. However, …
Mario Iacobelli, Adrian Robert Minut, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Iacopo Masi, Emanuele Rodolà
arXiv
Multi-objective Evolutionary Merging Enables Efficient Reasoning Models
Multi-Way Representation Alignment
The Platonic Representation Hypothesis suggests that independently trained neural networks converge to increasingly similar latent …
Akshit Achara, Tatiana Gaintseva, Mateo Mahaut, Pritish Chakraborty, Viktor Stenby Johansson, Melih Barsbey, Emanuele Rodolà, Donato Crisostomi
arXiv
Multi-Way Representation Alignment
Membership and Dataset Inference Attacks on Large Audio Generative Models
Generative audio models, based on diffusion and autoregressive architectures, have advanced rapidly in both quality and expressiveness. …
Jakub Proboszcz, Paweł Kochański, Karol Korszun, Katarzyna Stankiewicz, Donato Crisostomi, Giorgio Strano, Emanuele Rodolà, Kamil Deja, Jan Dubiński
arXiv
Membership and Dataset Inference Attacks on Large Audio Generative Models
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
Foundation models capable of generalizing across species and tasks represent a promising new frontier in bioacoustics, with NatureLM …
Davide Marincione, Donato Crisostomi, Roberto Dessì, Emanuele Rodolà, Emanuele Rossi
arXiv GitHub
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models