Papers by Jingwei Song

    1 papers
    MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification (2026.findings-acl)

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    Challenge: Autoregressive large language models suffer from high inference latency due to memorybandwidth constraints.
    Approach: They propose a method that decouples generation and verification by decoupling tokens and a lightweight draft model.
    Outcome: The proposed method delivers consistent and significant speedups over state-of-the-art baselines while preserving generation quality across diverse benchmarks.

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