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A 3B model can match the performance of models more than twice its size in mobile GUI automation by distilling visual history into concise natural language summaries.
LLMs can generate unbiased pseudo-labels for unexposed items in pre-ranking, boosting click-through rate by 3.07% in production while improving diversity.
Taobao's recommender system just got a 1.65% CTR boost by compressing ultra-long user behavior sequences with a hierarchical codebook and sparse attention, proving that personalized interest centers can be learned efficiently.
Taobao's new LTV ranking framework boosts long-term user engagement by learning nuanced video influence and creator-driven re-engagement, all while fitting within existing industrial constraints.
