Zhaochen Su

According to our database, Zhaochen Su authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

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

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

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

CoRR, May, 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

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 38: 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