most citedKuaiFormer: Transformer-Based Retrieval at Kuaishou

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR2025

CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms

Peiyuan Gong, Feiran Zhu, Yaqi Yin +6

Short-video platforms have rapidly become a new generation of information retrieval systems, where users formulate queries to access desired videos. However, user queries, especial…

cs.DB20251 cited

E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency

Dongjie Xu, Yue Cui, Weijie Shi +9

SQL query rewriting aims to reformulate a query into a more efficient form while preserving equivalence. Most existing methods rely on predefined rewrite rules. However, such rule-…

cs.CL2025

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

Tencent Hunyuan Team, Ao Liu, Botong Zhou +248

As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…

cs.AI2025

Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration

Zhao Jin, Lu Jin, Yizhe Luo +5

Despite significant progress in AI and decision-making technologies in safety-critical fields, challenges remain in verifying the correctness of decision output schemes and verific…

cs.IR20241 cited

KuaiFormer: Transformer-Based Retrieval at Kuaishou

Chi Liu, Jiangxia Cao, Rui Huang +4

In large-scale content recommendation systems, retrieval serves as the initial stage in the pipeline, responsible for selecting thousands of candidate items from billions of option…