Zhelun Shi

According to our database, Zhelun Shi authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

CoRR, August, 2025

Systematic Reward Gap Optimization for Mitigating VLM Hallucinations.

Lehan He, Zeren Chen, Zhelun Shi, Tianyu Yu, Jing Shao, Lu Sheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Chain-of-Imagination for Reliable Instruction Following in Decision Making.

Enshen Zhou, Yiran Qin, Zhenfei Yin, Zhelun Shi, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Jing Shao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

RH20T-P: A Primitive-Level Robotic Manipulation Dataset towards Composable Generalization Agents in Real-world Scenarios.

Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Enshen Zhou, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

WorldSimBench: Towards Video Generation Models as World Simulators.

Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Ruimao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation.

Lijun Li, Zhelun Shi, Xuhao Hu, Bowen Dong, Yiran Qin, Xihui Liu, Lu Sheng, Jing Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs.

Lehan He, Zeren Chen, Zhelun Shi, Tianyu Yu, Jing Shao, Lu Sheng

CoRR, 2024

WorldSimBench: Towards Video Generation Models as World Simulators.

Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Wanli Ouyang, Ruimao Zhang

CoRR, 2024

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents.

Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Haoshu Fang, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng

CoRR, 2024

Assessment of Multimodal Large Language Models in Alignment with Human Values.

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zaibin Zhang, Lijun Li, Yongting Zhang, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

2023

ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models.

Zhelun Shi, Zhipin Wang, Hongxing Fan, Zhenfei Yin, Lu Sheng, Yu Qiao, Jing Shao

CoRR, 2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.

Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang, Lu Sheng, Lei Bai, Jing Shao, Wanli Ouyang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer.

Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022