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Showing papers from Meituan Show all papers

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NeurIPS 2026Shanghai JiaotongTianjinAlibaba GroupAMAP, Alibaba GroupMeituanText-to-image

Breaking the Static: Dynamic Text Conditioning for Diverse Image Generation

Meng Yu, Ruidong Chen, qingfeng shi, Yingmao Miao and 5 more

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

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NeurIPS 2026Beijing University of Posts and Alibaba GroupEberhard-Karls-Universität TübinMeituanU New South WalesVision-language models

Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning

Chengxiang Huang, Haopeng Zhang, Yuzhe Han, Rui Dai 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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NeurIPS 2026Nanyang TechnologicalAlibaba GroupPekingMeituan3D generation

Plan4D: Generative Plannable 4D Worlds

Hangwei Zhang, Rujing Dang, Ruimin Lin, Jiahong Wu and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Institute of Computing TechnologMeta Platforms, IncAlibaba GroupIndependent ResearcherMicro-IntelligenceMultimodal reasoning

What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

Zhenlong Yuan, Yue Wang, Jing Tang, Rui Chen and 8 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Central China NormalMeituanzhipuSouth-Central MinzuRL for LLMs

SDAE: Semantic-Diversity-Aware Exploration for Efficient Reinforcement Learning in Large Language Models

Jianwen Sun, Wangzi Shi, Sannyuya Liu, Zhiming Wang and 3 more

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

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NeurIPS 2026TsinghuaKuaishouMeituanPengcheng LaboratoryDiffusion models

Efficient Hybrid Distillation: Synergizing Score and Adversarial Objectives for One-Step Diffusion

Fei Peng, Junqiang Wu, Haoxian Tan, Jun Zhou 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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NeurIPS 2026U the Chinese Academy of ScienceZhejiangAlibaba GroupMeituanDiffusion models

Masked Generative Pretraining Improves Cross-Dataset Transfer in Pixel-Space Diffusion

Shu Wei, Jiachen Lei, Jiahong Wu, Xiangxiang Chu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026PekingU California, BerkeleyMeituanBeihangInstitute of automation, ChineseFairness & bias

On the Bias of Group-Based Advantage Estimation

Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu and 8 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026AlibabaAlibaba GroupMachine Learning R&D DepartmMeituanAutonomous driving

DriveStreamBench: Evaluating User-Conditioned Watch-and-Notify in Streaming Driving Video

Yi Wang, Xin Zhao, Tian Meng, Rui Dai and 9 more

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

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NeurIPS 2026Beijing University of Posts and Peking University, TsinghuaPekingAlibaba GroupMeituanKnowledge editing

DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models

Jinhu Fu, Yan Bai, Yihang Lou, Li Sun 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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NeurIPS 2026Institute of automation, ChineseMeituanmeituanPekingAlignment & preference optimization

Beyond Outcome: Trajectory-Driven Prompt Optimization via Multi-Dimensional Rewards

Zhixiang Liang, Yixiang Huang, CHENJING CAI, Hao Wu and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalMeituanTU Berlin / BIFOLDSoutheastTime series foundation models

Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models

Yi Ding, Muyun Jiang, Weibang Jiang, Shuailei Zhang and 5 more

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

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57%Worth a look
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NeurIPS 2026Nanyang TechnologicalThe University of Hong KongMeituanU Science and Technology BeijingSoutheastUnified multimodal models

LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Wu Mengjun and 9 more

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

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NeurIPS 2026The Chinese University of Hong KUCLA | Tencent HunyuanXiamenMeituanUC BerkeleyText-to-image

Gen-Searcher: Reinforcing Agentic Search for Image Generation

Gen-Searcher trains a search-augmented image generation agent via supervised and reinforcement learning, yielding about 16-point gains on knowledge-intensive benchmarks.

Kaituo Feng, Manyuan Zhang, Shuang Chen, Yunlong Lin and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 54 on Hugging Face · Code ★ 400

100% Readers1 of 1 upvoted
14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
72%Highly rated
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NeurIPS 2026MeituanU Hong Kong-kuaishou techInstitute of automation, ChineseEfficient inference & serving

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining

SnapMLA improves long-context MLA decoding throughput up to 1.91x via hardware-aware FP8 quantization and pipeline optimization while preserving benchmark quality.

Yifan Zhang, Zunhai Su, Shuhao Hu, YangRui 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: 8 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 0/5
86%Must read
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NeurIPS 2026MeituanFudanTongjiHKUSTInstitute of automation, ChineseWeb & GUI agents

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

EvoCUA evolves computer-use agents via synthetic experience loops, achieving 56.7% success on OSWorld to set a new open-source state-of-the-art.

Taofeng Xue, Chong Peng, Mianqiu Huang, Linsen Guo and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 92 on Hugging Face · Code ★ 352

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
83%Must read
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NeurIPS 2026U Chinese Academy of ScienceMeituanCenter for Research on IntelligeInstitute of automation, ChineseU Science and Technology of ChinRL for LLMs

TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs

TGRL turns temperature-induced rollout diversity into an explicit RLVR training signal via reward contrast and Jensen-Shannon divergence, accelerating convergence up to 36% while improving math, code, and agent benchmarks.

Zihan Lin, Xiaohan Wang, Jie Cao, Jiajun Chai and 3 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5
72%Highly rated
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NeurIPS 2026Beijing Institute of TechnologyAlibaba GroupCity University of Hong KongInstitute of Automation，Chinese MeituanMultimodal reasoning

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning

Visual replay and routing depth scaling fix visual under-optimization and gradient instability in latent reasoning, achieving state-of-the-art results with faster inference.

Yudong Han, Yong Wang, Zaiquan Yang, Zhen Qu and 2 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: 8 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 0/5
86%Must read
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NeurIPS 2026TsinghuaSouth China NormalShenzhen University of Advanced HonorMeituanText-to-image

Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback

Structured Defect Grounding models text-to-image failures as structured tuples for diagnosis and alignment, outperforming proprietary vision-language models and improving generation via importance-weighted rewards.

Huaisong Zhang, Hao Yu, Yuxuan Zhang, Jiahe Wang and 6 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: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
83%Must read
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NeurIPS 2026Huazhong University of Science aSouth China NormalMeituanAlibaba groupAutoregressive generation

StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training

StableVQ decouples encoder-decoder and codebook training via Dynamic STE, Region VQ Loss, and independent schedules to stabilize VQ tokenizers and boost utilization and reconstruction.

Bao Tang, Jiahao Guo, Haoxiang Cao, Wenyu Liu 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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