Good Papers

Showing papers from Alibaba DAMO Academy Show all papers

57%Worth a look
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NeurIPS 2026Hong Kong University of Science Alibaba GroupZhejiangPekingShandongUnified multimodal models

WorldVLA: A Unified Vision-Language-Action and World Model

Jun CEN, Siteng Huang, Yuqian Yuan, Kehan Li and 10 more

Sydney Poster Session 4, Wed, Dec 9, 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
57%Worth a look
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NeurIPS 2026WestlakeByteDance Inc.BytedanceAlibaba DAMO AcademyVideo generation

PlasticMem: Adding Temporal Reasoning to Diffusions for Consistent Long Video Generation

Yufei Huang, Chao Liang, Zerong Zheng, Tianshu Hu 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
80%Must read
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NeurIPS 2026ZhejiangNortheasternAlibaba GroupAlibaba DAMO AcademyVision-language-action models

VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon

VLA-Corrector detects visual deviation via a lightweight monitor and triggers online replanning to adaptively correct action chunks without retraining VLA backbones.

Yi Pan, Miao Pan, Qi Lu, Jiaming Huang and 7 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 28 on Hugging Face · Code ★ 94

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
83%Must read
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NeurIPS 2026DAMO Academy, Alibaba GroupU Illinois at Urbana-ChampaignZhejiangTencent Hunyuan MultimodalAlibaba DAMO AcademyMultimodal reasoning

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency

VCBENCH benchmarks multimodal elementary math reasoning requiring multi-image visual dependencies, finding top models score under 50%.

Zhikai Wang, Jiashuo Sun, Wenqi Zhang, Zhiqiang Hu and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 11

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5