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Xiaohongshu Inc.
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Solve the cold-start problem in CTR prediction by using multimodal LLMs to generate proxy embeddings that align with existing ID embeddings, enabling effective ranking of new items without usage data.
A confidence-based gating mechanism lets a 14B parameter reward model outperform 70B parameter models, achieving a new accuracy-efficiency Pareto frontier.