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Showing papers from Kuaishou Technology Show all papers

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On the Instability and Stabilization of Blockwise Muon

Yuanshi Liu, Weicheng Lin, Boyuan Jiang, Xin Tao and 2 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents

Weiqi Zhang, Junsheng Zhou, Juntong Fang, Kanle Shi and 2 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation

Chenxu Li, Shuchang Liu, Hantao Shu, Wei Yuan and 14 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · 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
57%Worth a look
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Position: Next-Generation Game Engines Should Be Built on Interactive Generative Video

Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Iris: Empowering Video MLLMs with High-Frequency Pose Priors via Spatiotemporal Binding

Jiahang Zhang, Yushuo Guan, Yuanxing Zhang, Pengfei Wan and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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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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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
78%Highly rated
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Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling

DeScore decouples chain-of-thought reasoning from scoring in video reward models to improve generalization and training stability. Its think-then-score design uses explicit reasoning followed by a dedicated regression head, optimized via cold-start and dual-objective reinforcement learning.

Yuan Wang, Ouxiang Li, Yulong Xu, Borui Liao and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
78%Highly rated
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Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE

SplitMoE replaces uniform token-wise routing with split semantic and generic experts, improving video diffusion convergence, routing coherence, and generation quality over load-balanced MoEs.

Yu Xu, Yuxin Zhang, Xiao Yang, Haotian Yang and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
70%Highly rated
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AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization

AnchorWorld improves egocentric world simulation via full-body interaction supervision and anchor-view customization with consistent spatio-temporal dynamics.

Yu Li, Menghan Xia, Gongye Liu, Xintao Wang and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
70%Highly rated
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UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence

UxSID captures target-aware preferences via semantic-group shared interest memory and dual-level attention, achieving state-of-the-art results and 0.337% revenue lift.

Hongwei Zhang, qiqiang zhong, Jiangxia Cao, Junfeng Shu and 7 more

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

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AI panel: 5 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 0/5
74%Highly rated
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Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing

Edit-R2 uses reinforcement learning to reconstruct session intent and jointly optimize reasoning and generation for multi-turn image editing. It improves instruction following and consistency over accumulated constraints on the MICE-Bench benchmark.

Yuxiao YE, Haoran He, Fangyuan Kong, Xintao Wang and 3 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
83%Must read
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AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories

AgentBrew learns tool-use policies offline from raw real-world trajectories via retrospective task inference and PMI-based credit assignment, improving Qwen3-32B by +8.7 accuracy over larger baselines.

Zhiyi Lyu, Yewen Li, Longtao Zheng, shengtian yang and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
86%Must read
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ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation

ARGUS introduces multi-view identity mosaic injection and counterfactual training to preserve subject identity across motion, viewpoint changes, and occlusions in video generation.

Zijie Meng, Jiwen Liu, Yufei Liu, Chengzhuo Tong and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 1/5
71%Highly rated
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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
88%Must read
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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
76%Highly rated
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Temporal Concentration from Rollout Errors: Implicit Preference Optimization For Text-to-Video Diffusion

cIPO aligns text-to-video diffusion by deriving implicit preferences from reconstruction errors and concentrating optimization on high-error temporal segments to fix sparse artifacts.

henglin liu, Fangyuan Kong, Jing Wang, Yizhou Lin and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
86%Must read
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Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking

Manifold drift pushes flow preference optimization off the data manifold via terminal displacement normal components; ThermoDPO-weighted improves strict score and image metrics over FlowDPO.

Yansen Han, Shengyi Liao, Yuanxing Zhang, Pengfei Wan and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 2/5
80%Must read
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UniCustom: Unified Visual Conditioning for Multi-reference Image Generation

UniCustom fuses visual-semantic and appearance features before VLM encoding to eliminate cross-reference confusion in multi-reference image generation. Experiments show improved subject consistency, instruction following, and compositional fidelity over baselines.

Yiyan Xu, Qiulin Wang, Wenjie Wang, Yunyao Mao and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · 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 4/5
medium 7/10
strict 1/5