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Showing papers from Kuaishou- 快手科技 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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Where Do Long Captions Fail? Position-Aware Diagnosis and Reinforcement Learning for Detailed Image Captioning

Yuanze Hu, Zhichao Yang, Junwei Jing, Xin Yang and 8 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 1/10
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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GOLD: Geometric Optimized Latent Diffusion for Structure-Aware RNA Inverse Folding

Qi Si, Xuyang Liu, Penglei Wang, Shuo Su and 5 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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LongBanana: An Expert-Verified Benchmark for Long-Context Multi-Reference Image Synthesis

Haoxiang Cao, Yuxuan Zhang, Penghui Du, Bo Li and 15 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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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
80%Must read
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SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing

SpatialFlow-GRPO introduces region-aware rewards to replace whole-image feedback, improving fine-grained image editing via spatially aligned policy updates.

Yankai Yang, Yancheng Long, Wei Chen, Xingyu Lu 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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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
74%Highly rated
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ViDiC: Video Difference Captioning

ViDiC introduces a video difference captioning task and ViDiC-1K benchmark that reveals large multimodal models struggle with fine-grained comparative video perception.

Jiangtao Wu, Shihao Li, Zhaozhou Bian, Jialu Chen and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 15

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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 3/10
strict 1/5
74%Highly rated
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CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

CaC advances video reward models via hierarchical spatiotemporal concentrating, improving fine-grained anomaly accuracy by 25.7% and reducing generated-video anomalies by 11.7%.

Jiyuan Wang, Huan Ouyang, Chunyu Lin, Dewen Fan and 14 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: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
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
83%Must read
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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences

DELTAVID improves video MLLM fine-grained spatiotemporal perception by training cross-video difference spotting, boosting performance across multiple video understanding benchmarks.

Yankai Yang, Yancheng Long, Bin Wen, Fan Yang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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 4/5
medium 8/10
strict 1/5
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
80%Must read
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Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR

Archer applies entropy-aware dual-token constraints to RLVR, modulating optimization strengths across reasoning and knowledge tokens to improve mathematical and code performance.

Jiakang Wang, Runze Liu, Fuzheng Zhang, Xiu Li and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face · Code ★ 44

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
89%Must read
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TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment

TMPO replaces scalar reward maximization with trajectory-level reward distribution matching via Softmax Trajectory Balance, improving diffusion alignment diversity by 9.1% while avoiding reward hacking and mode collapse.

Jiaming Li, Chenyu Zhu, Zhiyuan Ma, Nanxi Yi and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
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
80%Must read
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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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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
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