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Hao AI Lab
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Hao AI Lab

@haoailab
Hao AI Lab at UCSD. Our mission is to democratize large machine learning models, algorithms, and their underlying systems.
haoailab.com
Joined March 2024
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    Hao AI Lab
    @haoailab
    Jul 30
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    Article
    What Makes a Good Causal Correction for Parallel Drafting
    Authors: @aaronzhfeng · @Lanxiang_Hu · @YuYangQian_ai · @Jensen_Yuan · @haozhangml In our last post we set out where DSpark and JetSpec agree and where they differ. Both lines arrived at the same...
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    Hao AI Lab
    @haoailab
    Jul 6
    (1/6) The FastVideo team is excited to release a new set of FP4 attention kernels for B300, achieving up to 1.69x speedup over FA4!
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    Hao AI Lab
    @haoailab
    Jul 6
    Thrilled to share our poster sessions at #ICML2026 in Seoul! ☕️🇰🇷 Stop by to chat with our lab members and collaborators about parallel decoding, diffusion LLMs, speculative decoding, video sparse attention, quantization, and more. We’re excited to connect! 1️⃣ Strategic
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    Hao AI Lab
    @haoailab
    Jul 2
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    Article
    DSpark vs. JetSpec, which is better?
    Authors: @Lanxiang_Hu @aaronzhfeng @YuYangQian_ai @Jensen_Yuan @haozhangml Speculative decoding (SD) techniques have proliferated recently. SD accelerates autoregressive generation by letting a...
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    Hao AI Lab
    @haoailab
    Jun 25
    Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting. JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while
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