Author

Han-Bing Liu

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Preprint Aug 2026

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

TransRetrieval is presented, a Transformer-based retrieval framework that scales with both computational budget and cross-domain data and introduces weighted average aggregation, which restores the homogeneous-token assumption Transformers rely on, and target token compression that cuts per-candidate FLOPs while preserving cross-attention expressiveness.

Zhi-Fei Zheng, Yunfei Liu, Bin Liu et al. · 0 citations