Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. - Zhaochen Su; Zecheng Tang; Xinyan Guan; Lijun Wu 003; Min Zhang 005; Juntao Li (EMNLP, 2022)

Efficient Continue Training of Temporal Language Model with Structural Information. - Zhaochen Su; Juntao Li; Zikang Zhang; Zihan Zhou; Min Zhang (EMNLP (Findings), 2023)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? - Zhaochen Su; Juntao Li; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Pan Zhou 001; Yan Bowen; Yu Cheng 001; Min Zhang 005 (ACL (1), 2024)

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. - Jiashuo Sun; Jihai Zhang 002; Yucheng Zhou 001; Zhaochen Su; Xiaoye Qu; Yu Cheng 001 (EMNLP, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (NeurIPS, 2024)

Timo: Towards Better Temporal Reasoning for Language Models. - Zhaochen Su; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. - Mingyang Song; Zhaochen Su; Xiaoye Qu; Jiawei Zhou; Yu Cheng 001 (ACL (1), 2025)

Iterative Value Function Optimization for Guided Decoding. - Zhenhua Liu; Lijun Li; Ruizhe Chen; Yuxian Jiang; Tong Zhu 002; Zhaochen Su; Wenliang Chen; Jing Shao (CoRR, 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 030; Wei Wei 002; et al. (CoRR, 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 001 (CoRR, 2025)

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting. - Shijue Huang; Hongru Wang 003; Wanjun Zhong; Zhaochen Su; Jiazhan Feng; Bowen Cao; Yi R. (May) Fung (CoRR, 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 001 (CoRR, 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 001; et al. (CoRR, 2025)