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2026 顶会论文

作者位次 #12/12NeurIPS 2026Poster

RIGOR: Risk-Gated Topology Adaptation for Robust LLM Multi-Agent Reasoning

Fengyuan Ran · Yikuan Wang · Yanming Li · Wenjie Lu · Tongtong Wu · Senquan Yi · Yuheng Wang · Qiqi Lin · Yuxin Wu · Minghui Zhou · Naiqiang Tan · Li Shen

智能体与工具推理OpenReview

作者位次 #4/7NeurIPS 2026Poster

LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing

Jiawei Hao · Zhiwei Hao · Jianyuan Guo · Li Shen · Yong Luo · Han Hu · Dan Zeng

效率与系统OpenReview

作者位次 #3/6NeurIPS 2026Poster· Optimization

Improving Quantized Zeroth-Order Optimization through Reconstructed Low-Rank Structures

Fei Wang · Shuai Xie · Li Shen · Chao Xue · Ye Liu · Changxing Ding

效率与系统OpenReview

作者位次 #6/9NeurIPS 2026Poster

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization

Yan Sun · Guoxia Wang · Jinle Zeng · Jiabin Yang · Shuai Li · Li Shen · Dacheng Tao · Dianhai Yu · Haifeng Wang

数据与预训练OpenReview

作者位次 #6/6NeurIPS 2026Spotlight

Sparse Updates Generalize Better Than Optimization: Stability Analysis for Randomized Subspace Descent

Yifei Liang · Yan Sun · Yifei Cheng · Haobo Fu · XIAOCHUN CAO · Li Shen

理论与学习动力学OpenReview

作者位次 #7/7NeurIPS 2026Poster

Generalization Without Compression Penalty: A Stability Analysis of Error Feedback

Yifei Liang · Peng Wang · Yan Sun · Yingqi Liu · Xiaoyan Wang · XIAOCHUN CAO · Li Shen

效率与系统理论与学习动力学OpenReview

作者位次 #6/8NeurIPS 2026Poster

SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere

Chao Huang · Pengfei Wei · Wei Wang · Jie Wen · Zhihua Wang · Li Shen · Wenqi Ren · XIAOCHUN CAO

多模态效率与系统OpenReview

作者位次 #8/8NeurIPS 2026Poster· General Machine Learning / Transfer, Multitask and Meta-learning

S²MoE: Shared-Subspace Mixture of Sparse Experts

Feihong He · Anke Tang · Enneng Yang · Hao Jiang · Guojie Zhu · Gang Li · XIAOCHUN CAO · Li Shen

效率与系统OpenReview

作者位次 #8/10NeurIPS 2026Poster· Computer Vision / Vision Models & Multimodal

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning

Peng Chen · Chao Huang · Yunkang Cao · Chengliang Liu · Wei Wang · wenqiang wang · Mingbo Yang · Li Shen · Wenqi Ren · XIAOCHUN CAO

多模态推理检索与知识OpenReview

作者位次 #2/9NeurIPS 2026Poster

DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards

Hongling Zheng · Li Shen · Zichuan Lin · Jiafei Lyu · Zhicong Lu · Shuhan Xu · Yong Luo · Deheng Ye · Dacheng Tao

强化学习与后训练效率与系统数据与预训练OpenReview

作者位次 #6/9NeurIPS 2026Poster

Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

Guochen Zhou · Yijun Yang · Qiqi Duan · Qing Su · Weiming Ou · Li Shen · Shihao Ji · Yuhui Shi · Zhisong Zhang

强化学习与后训练OpenReview

作者位次 #7/7NeurIPS 2026Poster· Reinforcement Learning / Everything Else

From Anti-Forgetting to Fast Adaptation: Continual Reinforcement Learning with World Models

Qiyang Zhou · Yuliang Cai · Peng Wang · Senquan Yi · Yanming Li · Haobo Fu · Li Shen

强化学习与后训练OpenReview

作者位次 #2/8CVPR 2026Poster· Computer Vision & Pattern Recognition

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning

Ziyi Zhang · Li Shen · Deheng Ye · Yong Luo · Huangxuan Zhao · Meng Liu · Wei Yu · Lefei Zhang

多模态强化学习与后训练OpenReview 项目页

Li Shen

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2026 顶会论文

RIGOR: Risk-Gated Topology Adaptation for Robust LLM Multi-Agent Reasoning

LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing

Improving Quantized Zeroth-Order Optimization through Reconstructed Low-Rank Structures

SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization

Sparse Updates Generalize Better Than Optimization: Stability Analysis for Randomized Subspace Descent

Generalization Without Compression Penalty: A Stability Analysis of Error Feedback

SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere

S²MoE: Shared-Subspace Mixture of Sparse Experts

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning

DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards

Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

From Anti-Forgetting to Fast Adaptation: Continual Reinforcement Learning with World Models

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning

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