Author

Dmitry Bylinkin

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Preprint Oct 2026

WRDO: Weighted Refusal Direction Optimization in Aligned Language Models

Aligned large language models are trained to comply with benign requests while refusing harmful ones. However, recent work shows that this refusal behavior is fragile and can often be disrupted by simple activation- or weight-space interventions. In particular, refusal has been shown to be largely mediated by a single...

G. Evseev, V. Solodkin, Dmitry Bylinkin et al. · 0 citations

#machine learning Preprint Oct 2026

Bridging Compressed Communication and Local Steps via Spectral Method in Federated Learning

Federated Learning (FL) enables collaborative training of complex models across large-scale networks of edge devices while keeping data localized. However, data heterogeneity and high communication overhead remain fundamental bottlenecks. Recently, the spectral optimizer Muon has demonstrated remarkable advantages over...

Dmitriy Bystrov, G. Chirkov, D. Medyakov et al. · 0 citations

Preprint Aug 2026

The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics

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

#machine learning Preprint Aug 2026

Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation Steering

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

#machine learning Preprint Aug 2026

Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs

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