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Showing papers from KuaiShou Technology Show all papers

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NeurIPS 2026Kuaishou- 快手科技national university of singaore,NankaiKuaiShou TechnologyKuaishou TechnologyVision-language models

Mixture of Attribute-Aware Attention Experts for Fine-grained E-Commerce Composed Image Retrieval

Yufei Ma, Zihan Liang, Zhipeng Qian, Huangyu Dai and 4 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
71%Highly rated
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NeurIPS 2026KuaiShou TechnologyKuaishou- 快手科技national university of singaore,KuaishouKuaishou TechnologyInformation retrieval

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework

OneSearch-V2 uses thought-augmented query understanding and reasoning self-distillation to improve generative search, boosting item CTR by 3.98% without added latency.

Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang and 4 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · Code ★ 174

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 0/5
80%Must read
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NeurIPS 2026Kuaishou- 快手科技NankaiU Pennsylvania, University of PeKuaiShou TechnologyLLM agents & planning

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

Bian Que is an agentic framework that arranges flexible skills for online system operations, reducing alerts by 75% and cutting resolution time by over 50%.

bochao liu, Zhipeng Qian, yang zhao, Xinyuan Jiang and 8 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
88%Must read
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NeurIPS 2026Kuaishou- 快手科技Sun Yat-senU Pennsylvania, University of PeKuaiShou TechnologyKuaishou TechnologyVisual grounding

TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval

TIGER-FG uses text-guided implicit fine-grained grounding and dual distillation to improve cropped-query e-commerce retrieval, boosting Recall@1 by up to 34.4 points without object detection.

Xinyu Sun, Huangyu Dai, Lingtao Mao, Zexin Zheng and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5