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Found 3 papers, 1 papers with code
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models
We demonstrate that CATS can be applied to various base models, including Mistral-7B and Llama2-7B, and outperforms existing sparsification techniques in downstream task performance.
Faster Maximum Inner Product Search in High Dimensions
We provide theoretical guarantees that BanditMIPS returns the correct answer with high probability, while improving the complexity in $d$ from $O(\sqrt{d})$ to $O(1)$.
MABSplit: Faster Forest Training Using Multi-Armed Bandits
We present an algorithm that accelerates the training of random forests and other popular tree-based learning methods.
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