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U.S. agencies accuse Chinese AI companies of industrially distilling U.S. frontier AI models to replicate capabilities without full costs, raising questions about the AI race and model superiority.
This paper presents JD Oxygen AI Item Center (Oxygen AIIC), an industrial-scale platform leveraging LLMs/VLMs for item knowledge production and service, achieving high precision and recall, and delivering measurable gains in search, recommendation, and operations on JD.com.
PEARL introduces a contrastive percentile approximation framework to mitigate behavioral intensity imbalance in recommender systems, achieving significant gains in engagement metrics in a production livestream platform serving billions of users.