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Alina Shutova

2 accepted papers

2025

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models

ICML 2025poster

Efficient real-world deployments of large language models (LLMs) rely on Key-Value (KV) caching for processing and generating long outputs, reducing the need for repetitive computation. For large contexts, Key-Value caches can take up tens of gigabytes of device memory, as they store vector represen…

2025

Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

NeurIPS 2025spotlight

Large Language Models (LLMs) have demonstrated the ability to tackle increasingly complex tasks through advanced reasoning, long-form content generation, and tool use. Solving these tasks often involves long inference-time computations. In human problem solving, a common strategy to expedite work is…

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