Zhaochen Su

According to our database, Zhaochen Su authored at least 24 papers between 2022 and 2026.

Collaborative distances:

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

2026

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents.

Shijue Huang, Hangyu Guo, Chenxin Li, Junting Lu, Xinyu Geng, Zhaochen Su, Zhenyu Li, Shuang Chen, Hongru Wang, Yi R. Fung

CoRR, May, 2026

XSkill: Continual Learning from Experience and Skills in Multimodal Agents.

Guanyu Jiang, Zhaochen Su, Xiaoye Qu, Yi R. Fung

CoRR, March, 2026

AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios.

Zhaochen Su, Jincheng Gao, Hangyu Guo, Zhenhua Liu, Lueyang Zhang, Xinyu Geng, Shijue Huang, Peng Xia, Guanyu Jiang, Cheng Wang, Yue Zhang, Yi R. (May) Fung, Junxian He

CoRR, February, 2026

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting.

Shijue Huang, Hongru Wang, Wanjun Zhong, Zhaochen Su, Jiazhan Feng, Bowen Cao, Yi R. Fung

Trans. Mach. Learn. Res., 2026

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents.

Jiayu Liu, Cheng Qian, Zhaochen Su, Qing Zong, Shijue Huang, Bingxiang He, Yi R. Fung

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Evolutionary Guided Decoding: Iterative Value Refinement for LLMs.

Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution.

Junlong Li, Wenshuo Zhao, Jian Zhao, Weihao Zeng, Haoze Wu, Xiaochen Wang, Rui Ge, Yuxuan Cao, Yuzhen Huang, Wei Liu, Junteng Liu, Zhaochen Su, Yiyang Guo, Fan Zhou, Lueyang Zhang, Juan Michelini, Xingyao Wang, Xiang Yue, Shuyan Zhou, Graham Neubig, Junxian He

CoRR, October, 2025

GRACE: Generative Representation Learning via Contrastive Policy Optimization.

Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han

CoRR, October, 2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.

Zhaochen Su, Peng Xiang, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. (May) Fung

CoRR, June, 2025

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.

Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng

CoRR, June, 2025

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

Zhaochen Su, Linjie Li, Mingyang Song, Yunzhuo Hao, Zhengyuan Yang, Jun Zhang, Guanjie Chen, Jiawei Gu, Juntao Li, Xiaoye Qu, Yu Cheng

CoRR, May, 2025

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.

Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng

CoRR, March, 2025

Iterative Value Function Optimization for Guided Decoding.

Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao

CoRR, March, 2025

Significance and Research Ideas of Developing Metadata Standards for Ancient Books of Traditional Chinese Medicine.

Lin Tong, Zhaochen Su, Weina Zhang, Xinying Li, Bing Li, Ziling Zeng, Sihong Liu, Junze Ye, Danping Zheng, Lei Zhang, Hongtao Li, Huamin Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Study on the Medication Rules of Prescriptions for Treating Palpitations with Ancient Classic Prescriptions Based on Data Mining.

Zhaochen Su, Qiang Wang, Guangkun Chen, Sihong Liu, Yu Zhang, Xinying Li, Danping Zheng, Wenhui Zhu, Junze Ye, Jinbao Wang, Lei Zhang, Lin Tong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Research Status of Knowledge Organization in Traditional Chinese Medicine and Thinking on Knowledge Organization in Classical Books.

Xingyang Shi, Lei Zhang, Guangkun Chen, Sihong Liu, Zhaochen Su, Danping Zheng, Hongtao Li, Huamin Zhang, Lin Tong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.

Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng

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

2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.

Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng

CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.

Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Efficient Continue Training of Temporal Language Model with Structural Information.

Zhaochen Su, Juntao Li, Zikang Zhang, Zihan Zhou, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.

Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022