This work introduces the Kuramoto Neural Operator (KNO), which represents the solution through the evolution of a latent field of interacting oscillators, and shows that the model's prediction error is closely linked to the collective dynamics of the latent oscillators.
Petr Badolia, L. Obukhov, Dmitry Bylinkin et al.· 0 citations
This work develops a self-contained methodology for learning parameter-efficient rotational transformations based on Riemannian optimization and empirically validate the proposed rotation-based steering scheme, demonstrating its superiority in intervention efficiency.
Kirill Bunin, Dmitry Bylinkin, Vladimir Aletov et al.· 0 citations
A novel white-box attack inspired by locate-then-edit approaches from the field of Knowledge Editing is proposed, modifying the editing framework by incorporating as- sociative knowledge retrieved from the model, thereby extending constraint removal to an entire thematic category rather than being limited to prompts fr...
R. Maksimov, Vladimir Aletov, V. Solodkin et al.· 0 citations
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