Author

Damian Sójka

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#machine learning Preprint Oct 2026

On the Limits of Representation-Based Test-Time Adaptation for Multimodal LLMs

Vision-language models suffer significant accuracy drops under common corruptions. While test-time adaptation (TTA) successfully mitigates these shifts in CLIP-like contrastive models, its application to generative multimodal large language models (MLLMs) remains underexplored and uniquely challenging due to their sequ...

Mikolaj Piórczynski, Wojciech Masarczyk, Damian Sójka et al. · 0 citations

#machine learning Mar 2026

Subspace Optimization for Backpropagation-Free Continual Test-Time Adaptation

PACE is introduced, a backpropagation-free continual test-time adaptation system that directly optimizes the affine parameters of normalization layers that achieves state-of-the-art accuracy across multiple benchmarks under continual distribution shifts, reducing runtime by over 50% compared to existing backpropagation...

Damian Sójka, Sebastian Cygert, Marc Masana · arXiv.org · 1 citation

#machine learning Preprint Sep 2026

Rethinking the Teacher-Student Framework for Test-Time Adaptation

This work challenges the common strategy of setting the teacher weights to an exponential moving average of the student by showing that error accumulation still occurs, although it is mostly apparent on longer sequences compared to those commonly utilized, and proposes an intransigent teacher that does not update its w...

Damian Sójka, Marc Masana, Bartłomiej Twardowski et al. · 0 citations