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Vanderbilt University Nashville
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LLM inference cost plummets as a novel output-aware KV cache retrieval method bypasses attention score approximation errors, achieving competitive performance with minimal overhead.
Dataset distillation's dirty secret: soft labels bloat storage, but a VQ-VAE slashes their size by 30-40x without sacrificing performance.