Author

G. Davydenko

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Open access Oct 2026

SimplexLoRA: Dynamic Rank Updating via Alternating Minimization with Simplex Projection

The success of large language models in real-world applications relies on parameter-efficient fine-tuning methods such as Low-Rank Adaptation (LoRA), which inserts compact, trainable adapters into selected layers. In this paper, we propose SimplexLoRA, a LoRA variant that adaptively adjusts adapter ranks during fine-tu...

Igor Shalygin, G. Davydenko, Andrey Veprikov et al. · Conference on Empirical Meth... · 0 citations

#machine learning Preprint Aug 2026

AdaMem: Adaptive Memory Token Allocation for Soft Compression in Retrieval-Augmented Generation

AdaMem is a relevance-guided soft-compression framework that maps learned passage-relevance estimates to a query-dependent allocation of a fixed memory-token budget and retains an efficiency profile comparable to the uniform-compression baseline, while achieving up to $4\times lower inference latency than full-context...

A. Sakhno, G. Davydenko, O. Zoloev et al. · 0 citations