Author

Pietro Perona

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Preprint Oct 2026

Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation

Mixture-of-Experts (MoE) architectures scale model capacity through sparse computation, routing each token through only a small subset of experts. In this work, we explore whether this sparsity gives rise to emergent intrinsic organization in multimodal MoEs. We find that experts develop strong semantic specialization...

Damiano Marsili, Raphi Kang, Aditya Mehta et al. · 0 citations

#small language model Preprint Aug 2026

Training-Free Temporal Abstraction for General Video Understanding

STITCH is presented, a training-free method that divides a video into semantically meaningful temporal chunks that are computed once per video and reused across tasks, suggesting that reusable temporal abstraction is a promising direction for general video understanding.

Etienne Casanova, S. Brodjian, Pietro Perona · 0 citations