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Improving the Expressive Power of Hybrid Sequence Models via Multi-Hop Retrieval

Eitan, Yam et al.
arXiv (All) · Papers
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machine-learning
Hybrid architectures offer a promising approach to efficient language modeling by combining a small number of full-attention layers with a larger number of efficient sequence layers, such as sparse attention and recurrent layers. While full-attention layers maintain a KV cache that grows linearly wi
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