What is recorded here?
Reformulated recommendation around sequentially unified user actions and introduced HSTU blocks with pointwise aggregated attention, multiplicative gating, ragged fused kernels and stochastic sequence-length training.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Attention uses SiLU/normalization rather than softmax; feature and streaming assumptions matter. Stochastic-length compute savings alter sampled histories and have empirical quality checks, not universal accuracy preservation. Power-law scaling and online A/B metrics are source-reported on selected systems; comparisons with LLM compute do not establish identical tasks or training regimes.
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People and systems
Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Michael He; Yinghai Lu; Yu Shi
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
HSTU generative recommenders: sequential transduction and streaming attention
Reformulated recommendation around sequentially unified user actions and introduced HSTU blocks with pointwise aggregated attention, multiplicative gating, ragged fused kernels and stochastic sequence-length training.
Scientific scope
Attention uses SiLU/normalization rather than softmax; feature and streaming assumptions matter. Stochastic-length compute savings alter sampled histories and have empirical quality checks, not universal accuracy preservation. Power-law scaling and online A/B metrics are source-reported on selected systems; comparisons with LLM compute do not establish identical tasks or training regimes.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Michael He; Yinghai Lu; Yu Shi
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.