Dongzhi Jiang

According to our database, Dongzhi Jiang authored at least 20 papers between 2023 and 2025.

Collaborative distances:

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

2025

Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark.

Ziyu Guo, Xinyan Chen, Renrui Zhang, Ruichuan An, Yu Qi, Dongzhi Jiang, Xiangtai Li, Manyuan Zhang, Hongsheng Li, Pheng-Ann Heng

CoRR, October, 2025

BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception.

Junyan Ye, Dongzhi Jiang, Jun He, Baichuan Zhou, Zilong Huang, Zhiyuan Yan, Hongsheng Li, Conghui He, Weijia Li

CoRR, October, 2025

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation.

Junyan Ye, Dongzhi Jiang, Zihao Wang, Leqi Zhu, Zhenghao Hu, Zilong Huang, Jun He, Zhiyuan Yan, Jinghua Yu, Hongsheng Li, Conghui He, Weijia Li

CoRR, August, 2025

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning.

Xinyan Chen, Renrui Zhang, Dongzhi Jiang, Aojun Zhou, Shilin Yan, Weifeng Lin, Hongsheng Li

CoRR, June, 2025

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

Dongzhi Jiang, Ziyu Guo, Renrui Zhang, Zhuofan Zong, Hao Li, Le Zhuo, Shilin Yan, Pheng-Ann Heng, Hongsheng Li

CoRR, May, 2025

ADT: Tuning Diffusion Models with Adversarial Supervision.

Dazhong Shen, Guanglu Song, Yi Zhang, Bingqi Ma, Lujundong Li, Dongzhi Jiang, Zhuofan Zong, Yu Liu

CoRR, April, 2025

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems.

Ziyu Guo, Ray Zhang, Hao Chen, Jialin Gao, Dongzhi Jiang, Jiaze Wang, Pheng-Ann Heng

CoRR, March, 2025

PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models.

Zilu Guo, Hongbin Lin, Zhihao Yuan, Chaoda Zheng, Pengshuo Qiu, Dongzhi Jiang, Renrui Zhang, Chun-Mei Feng, Zhen Li

CoRR, March, 2025

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.

Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li

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

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency.

Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi, Xinyan Chen, Liuhui Wang, Jianhan Jin, Claire Guo, Shen Yan, Bo Zhang, Chaoyou Fu, Peng Gao, Hongsheng Li

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

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.

Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines.

Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems.

Ziyu Guo, Renrui Zhang, Hao Chen, Jialin Gao, Dongzhi Jiang, Jiaze Wang, Pheng-Ann Heng

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

2024

MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li

CoRR, 2024

MAVIS: Mathematical Visual Instruction Tuning.

Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li

CoRR, 2024

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li

CoRR, 2024

MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.

Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023