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NeurIPS 2026Shanghai JiaotongCentral SouthSensetimeThe Chinese University of Hong KSenseTimeDeep RL

ROLLVERIFY: BRIDGING EFFICIENCY AND ACCURACY IN LONG-TAIL ROLLOUT REINFORCEMENT LEARNING

Yongqiang Yao, Jingru Tan, Kaihuan Liang, Zixin Yin and 4 more

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

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57%Worth a look
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NeurIPS 2026Hong Kong University of Science SensetimeSenseTimeCSE, HKUSTVision-language models

BlenderFORGE: Framework for Optimizing Reactive 3D-Graphics Editing Ability of MLLMs

Zilin Guo, Tianrui ZHANG, Yi RONG, Yichen Liu 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
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45%Niche pick
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NeurIPS 2026Shanghai JiaotongSensetimeAnt GroupAlibaba GroupShanghai Jiao TongVision-language models

RUBRIC-MME: Real-User Behavior-grounded Rubric for Multimodal Interaction Capability Evaluation

Jiajie Teng, Jianping Jiang, Huiyu Duan, Jingdong Chen and 7 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
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57%Worth a look
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NeurIPS 2026TsinghuaAlibaba GroupTsinghua University, TsinghuaSensetimeEmbodied agents

LongScape: Advancing Long-Horizon Embodied World Models with Context-Aware MoE

Lei Jin, Yu Shang, Yiding Ma, Xinhao Jin 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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83%Must read
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NeurIPS 2026OralThe Chinese University of Hong KSenseTime ResearchSensetimeUCLA | Tencent HunyuanUniversiti MalayaMultimodal reasoning

GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning

GeoSym Engine automates symbolically-verifiable geometric reasoning data synthesis, and models trained on GeoSym127K achieve large gains on diagram-dependent geometry benchmarks.

Jinhao Jing, Zheng Ma, Jinwei Liang, Qiannian Zhao and 8 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: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5
86%Must read
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NeurIPS 2026TsinghuaShandongBeijing Institute of TechnologyTsinghua University, TsinghuaAlibaba GroupEmbodied agents

WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation

WorldVLN autoregressively predicts short-horizon world-state transitions to generate waypoint actions for aerial vision-language navigation, achieving over 12% success-rate gains and real-world drone transfer.

Baining Zhao, jiacheng xu, Weicheng Feng, Xin Zhang and 12 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5