Papers by Jusen Du

1 papers
Native Hybrid Attention for Efficient Sequence Modeling (2026.acl-long)

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Challenge: Experimental results show that NHA surpasses Transformers on recall-intensive tasks.
Approach: They propose a hybrid architecture of linear and full attention that integrates both into a unified layer design.
Outcome: The proposed architecture surpasses Transformers and other hybrid baselines on recall-intensive and commonsense reasoning tasks.

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