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Showing papers from University of Modena and Reggio Emilia Show all papers

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NeurIPS 2026Mercuria Energy Trading SAU Modena and Reggio EmiliaU Modena and Reggio Emilia, ItalModel merging

Rethinking Layer-wise Model Merging through Chain of Merges

Chain of Merges sequentially merges layer weights while updating activation statistics to reduce internal covariate shift and surpass existing model merging benchmarks.

Pietro Buzzega, Riccardo Salami, Angelo Porrello, SIMONE CALDERARA

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 5/5
medium 8/10
strict 0/5
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NeurIPS 2026U Modena and Reggio EmiliaU PisaUniversità degli Studi di ModenaMechanistic interpretability

Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers

A small subset of hidden-state channels in diffusion transformers drives image semantics, spatial structure, and prompt transfer without training.

Evelyn Turri, Davide Bucciarelli, Sara Sarto, Lorenzo Baraldi and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5