Papers by JiqunChu JiqunChu

    1 papers
    Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model (2024.findings-naacl)

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    Challenge: Structured State Space models (SSMs) have been used for long-range sequence learning but are limited in their complexity and computational and memory requirements.
    Approach: They propose to incorporate a simple SSM into an element-wise MLP to reduce inductive bias.
    Outcome: The proposed model achieves comparable results to existing models on the LRA benchmark.

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