Author

M. Burtsev

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Preprint Jul 2026

Extending LLM Context via Associative Recurrent Memory

An extensive experimental study is presented demonstrating that ARMT-augmented models process inputs well beyond their original context limits without degrading performance relative to in-limit baselines and need 30% less FLOPs while preserving baseline performance within the original context window.

Gleb Kuzmin, I. Rodkin, A. Bulatov et al. · 0 citations

#small language model Preprint Aug 2026

MARS: Multi-Specialist LLM Relay System for Competitive Programming

This work presents MARS (Multi-Agent Relay of Specialized LLMs), a prompt-only framework in which each agent is a topic specialist---dynamic programming, graphs, strings, geometry, and so on---grounded by retrieval-augmented generation over an algorithm-theory corpus.

Andrei Mikhailov, M. Burtsev, Alsu Sagirova · 0 citations