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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 2026Shanghai JiaotongPeking University, TsinghuaByteDance Inc.SenseTimeBeijing University of AeronauticQuantization

BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference

Zining Wang, Haojie Duanmu, Zhihang Yuan, Fanliu Kong 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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AI panel: 1 of 20 reviewers recommend it
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strict 0/5
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
strict 0/5
76%Highly rated
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NeurIPS 2026Shanghai Artificial IntelligencePekingSenseTimeShanghai Artificial IntelligenceShenzhen Institutes of Advanced Vision-language models

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation

AgenticOCR transforms OCR into query-driven, on-demand extraction to selectively parse document regions, improving visual RAG efficiency and accuracy over page-level chunking.

Zhengren Wang, Dongsheng Ma, Huaping Zhong, Jiayu Li 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
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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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5