Author

V. Zhdanovskiy

2 papers indexed here

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#machine learning Preprint Sep 2026

LLMs are General Asynchronous Agents

This work develops an asynchronous LLM framework that lets users (or the agents themselves) define inference coroutines with overlapping memory states and showcases that Qwen 3.x models are capable of asynchronous operation for streaming video understanding, videogames, and monitoring, without task-specific training.

George Yakushev, Denis Mazur, В. Д. Бартенев et al. · 0 citations

#artificial intelligence Apr 2026

KV Cache Offloading for Context-Intensive Tasks

This work evaluates modern KV offloading on Text2JSON and other context-intensive tasks and finds significant performance degradation on both Llama 3 and Qwen 3 models, highlighting the need for a comprehensive and rigorous evaluation of long-context compression techniques.

A. Bocharnikov, Ivan Ermakov, Denis Kuznedelev et al. · arXiv.org · 1 citation