2 papers
cs.IR2026
Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
Chao Zhang, Shuai Lin, ChengLei Dai +5
Kuaishou serves over 400 million daily active users, processing hundreds of millions of search queries daily against a repository of tens of billions of short videos. As the final…
cs.IR2025
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
Zhijie Lin, Zhuofeng Li, Chenglei Dai +5
In a multi-stage recommendation system, reranking plays a crucial role in modeling intra-list correlations among items. A key challenge lies in exploring optimal sequences within t…