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Multilinguality in Hybrid Attention LLMs

Bandarkar, Lucas et al.
arXiv (All) · Papers
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computation-and-language
In response to the growing demand for long sequences in agentic and reasoning use cases, many state-of-the-art LLMs combine multiple variants of attention to mitigate the quadratic complexity of traditional softmax attention. These hybrid attention LLMs aim to balance the strengths and limitations o
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