Shengyuan Ding

According to our database, Shengyuan Ding authored at least 16 papers between 2025 and 2026.

Collaborative distances:

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

2026

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.

Fanqing Meng, Lingxiao Du, Zijian Wu, Guanzheng Chen, Xiangyan Liu, Jiaqi Liao, Chonghe Jiang, Zhenglin Wan, Jiawei Gu, Pengfei Zhou, Rui Huang, Ziqi Zhao, Shengyuan Ding, Ailing Yu, Bo Peng, Bowei Xia, Hao Sun, Haotian Liang, Ji Xie, Jiajun Chen, Jiajun Song, Liu Yang, Ming Xu, Qionglin Qiu, Runhao Fu, Shengfang Zhai, Shijian Wang, Tengfei Ma, Tianyi Wu, Weiyang Jin, Yan Wang, Yang Dai, Yao Lai, Youwei Shu, Yue Liu, Yunzhuo Hao, Yuwei Niu, Jinkai Huang, Jiayuan Zhuo, Zhennan Shen, Linyu Wu, Cihang Xie, Yuyin Zhou, Jiaheng Zhang, Zeyu Zheng, Mengkang Hu, Michael Qizhe Shieh

CoRR, April, 2026

Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning.

Haomin Wang, Qi Wei, Qianli Ma, Shengyuan Ding, Jinhui Yin, Kai Chen, Hongjie Zhang

CoRR, March, 2026

Visual-ERM: Reward Modeling for Visual Equivalence.

Ziyu Liu, Shengyuan Ding, Xinyu Fang, Xuanlang Dai, Penghui Yang, Jianze Liang, Jiaqi Wang, Kai Chen, Dahua Lin, Yuhang Zang

CoRR, March, 2026

Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation.

Xiangyu Zhao, Peiyuan Zhang, Junming Lin, Tianhao Liang, Yuchen Duan, Shengyuan Ding, Changyao Tian, Yuhang Zang, Junchi Yan, Xue Yang

CoRR, March, 2026

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing.

Dianyi Wang, Ruihang Li, Feng Han, Chaofan Ma, Wei Song, Siyuan Wang, Yibin Wang, Yi Xin, Hongjian Liu, Zhixiong Zhang, Shengyuan Ding, Tianhang Wang, Zhenglin Cheng, Tao Lin, Cheng Jin, Kaicheng Yu, Jingjing Chen, Wenjie Wang, Zhongyu Wei, Jiaqi Wang

CoRR, February, 2026

2025

ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning.

Shengyuan Ding, Xinyu Fang, Ziyu Liu, Yuhang Zang, Yuhang Cao, Xiangyu Zhao, Haodong Duan, Xiaoyi Dong, Jianze Liang, Bin Wang, Conghui He, Dahua Lin, Jiaqi Wang

CoRR, December, 2025

NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems.

Xiaozhe Li, Xinyu Fang, Shengyuan Ding, Linyang Li, Haodong Duan, Qingwen Liu, Kai Chen

CoRR, October, 2025

SPARK: Synergistic Policy And Reward Co-Evolving Framework.

Ziyu Liu, Yuhang Zang, Shengyuan Ding, Yuhang Cao, Xiaoyi Dong, Haodong Duan, Dahua Lin, Jiaqi Wang

CoRR, September, 2025

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems.

Xiaozhe Li, Jixuan Chen, Xinyu Fang, Shengyuan Ding, Haodong Duan, Qingwen Liu, Kai Chen

CoRR, June, 2025

Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM.

Xinyu Fang, Zhijian Chen, Kai Lan, Lixin Ma, Shengyuan Ding, Yingji Liang, Xiangyu Zhao, Farong Wen, Zicheng Zhang, Guofeng Zhang, Haodong Duan, Kai Chen, Dahua Lin

CoRR, March, 2025

OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference.

Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosong Cao, Weiyun Wang, Jiaqi Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Haodong Duan, Hua Yang, Kai Chen

CoRR, February, 2025

Large multimodal models evaluation: a survey.

Zicheng Zhang, Junying Wang, Farong Wen, Yijin Guo, Xiangyu Zhao, Xinyu Fang, Shengyuan Ding, Ziheng Jia, Jiahao Xiao, Ye Shen, Yushuo Zheng, Xiaorong Zhu, Yalun Wu, Ziheng Jiao, Wei Sun, Zijian Chen, Kaiwei Zhang, Kang Fu, Yuqin Cao, Ming Hu, Yue Zhou, Xuemei Zhou, Juntai Cao, Wei Zhou, Jinyu Cao, Ronghui Li, Donghao Zhou, Yuan Tian, Xiangyang Zhu, Chunyi Li, Haoning Wu, Xiaohong Liu, Junjun He, Yu Zhou, Hui Liu, Lin Zhang, Zesheng Wang, Huiyu Duan, Yingjie Zhou, Xiongkuo Min, Qi Jia, Dongzhan Zhou, Wenlong Zhang, Jiezhang Cao, Xue Yang, Junzhi Yu, Songyang Zhang, Haodong Duan, Guangtao Zhai

Sci. China Inf. Sci., 2025

Creation-Mmbench: Assessing Context-Aware Creative Intelligence in Mllms.

Xinyu Fang, Zhijian Chen, Kai Lan, Lixin Ma, Shengyuan Ding, Yingji Liang, Xiangyu Zhao, Farong Wen, Zicheng Zhang, Guofeng Zhang, Haodong Duan, Kai Chen, Dahua Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MM-IFEngine: Towards Multimodal Instruction Following.

Shengyuan Ding, Shenxi Wu, Xiangyu Zhao, Yuhang Zang, Haodong Duan, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Dahua Lin, Jiaqi Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference.

Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosongcao Maosongcao, Jiaqi Wang, Weiyun Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Hua Yang, Haodong Duan, Kai Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model.

Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Ziyu Liu, Shengyuan Ding, Shenxi Wu, Yubo Ma, Haodong Duan, Wenwei Zhang, Kai Chen, Dahua Lin, Jiaqi Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025