Author

A. Miasnikov

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#machine learning Preprint Oct 2026

Monarch-Muon: Structure-Aware Muon for Fast and Memory-Efficient Pretraining

Training large language models is constrained by both wall-clock time and memory footprint, and recent matrix-aware optimizers sharpen this tradeoff: Muon can improve optimization but its dense polar update remains expensive. We propose Monarch-Muon, a structured matrix-aware optimizer for weights parameterized by Mona...

A. Miasnikov, R. Kabirov, G. Molodtsov et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs

Prompt-based adaptation offers several ways to specialize a frozen language model, ranging from natural-language prompt optimization to learned continuous prompts. These methods are usually compared through downstream performance, although similar outputs need not arise from similar internal computations. We study how...

Mikhail Aleksandrov, Nail Bashirov, Maksim Ivanov et al. · 0 citations