Author

Gleb Kuzmin

RUDN University

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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. · arXiv.org · 0 citations