| 2026 | ACL | BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search. | Shiyu Liu, Yongjing Yin, Jianhao Yan, Yunbo Tang, Qinggang Zhang, Bei Li, Xin Chen, Jingang Wang, Xunliang Cai, Jinsong Su |
| 2025 | ACL | Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. | Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang |
| 2025 | ACL | Keys to Robust Edits: From Theoretical Insights to Practical Advances. | Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang |
| 2025 | COLING | Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. | Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang |
| 2025 | ICLR | ELICIT: LLM Augmentation Via External In-context Capability. | Futing Wang, Jianhao Yan, Yue Zhang, Tao Lin |
| 2024 | ACL | What Have We Achieved on Non-autoregressive Translation? | Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang |
| 2024 | ACL | RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models. | Jianhao Yan, Yun Luo, Yue Zhang |
| 2024 | COLING | DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. | Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang |
| 2024 | EMNLP | Empirical Prior for Text Autoencoders. | Yongjing Yin, Wenyang Gao, Haodong Wu, Jianhao Yan, Yue Zhang |
| 2024 | ICLR | Understanding In-Context Learning from Repetitions. | Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang |
| 2023 | ACL | Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. | Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang |
| 2023 | ACL | Explicit Syntactic Guidance for Neural Text Generation. | Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang |
| 2023 | EMNLP | Non-Autoregressive Document-Level Machine Translation. | Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang |
| 2022 | EMNLP | Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space. | Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou |
| 2021 | ACL | Selective Knowledge Distillation for Neural Machine Translation. | Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou |
| 2020 | EMNLP | A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. | Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou |
| 2020 | EMNLP | Multi-Unit Transformers for Neural Machine Translation. | Jianhao Yan, Fandong Meng, Jie Zhou |
| 2019 | NAACL | Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision. | Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu |