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Showing papers from Baidu Inc. Show all papers

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NeurIPS 2026The Chinese University of Hong KU Hong KongWuhanBaiduBaidu Inc.3D vision & reconstruction

Latent Spatial Reasoning: Building Innate 3D Awareness via Latent-Space Distillation

Ruifei Zhang, Xiangru Lin, Haoyuan Li, Wei Zhang 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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NeurIPS 2026SoochowBaiduTencentBaidu Inc.Soochow University, ChinaEfficient attention & state-space models

Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference

Zhenxu Tian, Kebin Liu, Zhengwu Yang, Yi Su and 7 more

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

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NeurIPS 20261011AIBaiduPekingBaidu Inc.LLM pretraining & scaling laws

Virtual Head Attention

Xibo Ding, Guoxia Wang, Jinle Zeng, Jiabin Yang and 3 more

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

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NeurIPS 2026PekingBaiduByteDance Inc.Baidu Inc.Code generation

RepoZero: Can LLMs Generate a Code Repository from Scratch?

Zhaoxi Zhang, Yiming Xu, Jiahui Liang, Weikang Li and 6 more

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

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NeurIPS 2026MBZUAI Institute of Foundation MMohamed bin Zayed University of Brigham YoungUC San DiegoU California, San DiegoOptimization

Concise Reasoning Through the Lens of Lagrangian Optimization

Chengqian Gao, Haonan Li, Taylor Killian, Jianshu She and 5 more

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

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NeurIPS 2026BaiduNortheasternBaidu Inc.ZhejiangEfficient attention & state-space models

FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention

Guoxia Wang, Qianyue He, Siming Wu, Haoyang Xie and 5 more

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

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78%Highly rated
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NeurIPS 2026SUN YAT-SEN UNIVERSITYBaiduBaidu Inc.CardiffSun Yat-senVideo generation

World Models as Group Actions

World models are formalized as group actions to enforce compositional dynamics via identity, inverse, and composition consistency, improving structural metrics without harming visual quality.

Zijie Wang, Wei Zhang, Weiming Zhang, Fanqi Zhang and 3 more

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

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lenient 5/5
medium 6/10
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78%Highly rated
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NeurIPS 2026BaiduTencentXiamenWuhanBaidu Inc.Unified multimodal models

Native Audio-Visual Alignment for Generation

NAVA proposes native audio-visual alignment with an Align-then-Fuse MMDiT architecture for joint audio-video generation, achieving superior synchronization, video quality, and timbre control with 6.3B parameters.

Longbin Ji, Guan Wang, xuan wei, Chenye Yang and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 31 on Hugging Face · Code ★ 226

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
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NeurIPS 2026mbzuaiMohamed bin Zayed University of MBZUAISouth China University of TechnoBaidu Inc.Flow matching

Path-Guided Flow Matching for Dataset Distillation

PGFM introduces flow matching for generative dataset distillation with deterministic ODE synthesis, continuous path-to-prototype guidance, and 7.6x efficiency gains over diffusion methods.

xuhui li, Zhengquan luo, Zixu Wu, Xiwei Liu and 3 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
72%Highly rated
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NeurIPS 2026National University of SingaporeBaiduTsinghua University, Chinapjlab.org.cnBaidu Inc.Video generation

ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration

ONE-SHOT factorizes compositional video generation via spatial-decoupled motion injection and hybrid context integration, achieving fine-grained human-environment control and minute-level consistency without 3D alignment.

Fengyuan Yang, Luying Huang, Jiazhi Guan, Quanwei Yang and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5