| 2026 | ACL | Evolutionary Guided Decoding: Iterative Value Refinement for LLMs. | Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao |
| 2026 | ACL | 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 |
| 2025 | ACL | PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. | Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng |
| 2024 | ACL | 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 |
| 2024 | EMNLP | SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. | Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng |
| 2023 | EMNLP | Efficient Continue Training of Temporal Language Model with Structural Information. | Zhaochen Su, Juntao Li, Zikang Zhang, Zihan Zhou, Min Zhang |
| 2022 | EMNLP | Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. | Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li |