| 2026 | ACL | Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. | Tingchen Fu, Yafu Li, Jiawei Gu, Xiaoye Qu, Yu Cheng |
| 2026 | ACL | The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning. | Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng |
| 2026 | ACL | CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning. | Zhuo Wang, Zhuo Zhang, Yafu Li, Yu Cheng, Lizhen Qu, Zenglin Xu |
| 2026 | ACL | Multi-LLM Collaborative Search for Complex Problem Solving. | Sen Yang, Yafu Li, Wai Lam, Yu Cheng |
| 2025 | ACL | Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. | Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang |
| 2025 | ACL | SEE: Continual Fine-tuning with Sequential Ensemble of Experts. | Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng |
| 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 | ICML | Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. | Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng |
| 2025 | WSDM | MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. | Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang |
| 2024 | ACL | MAGE: Machine-generated Text Detection in the Wild. | Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang |
| 2024 | ACL | Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. | Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang |
| 2024 | ACL | What Have We Achieved on Non-autoregressive Translation? | Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang |
| 2024 | EMNLP | LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, 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 | ACL | GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. | Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang |
| 2023 | ACL | Consistency Regularization Training for Compositional Generalization. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2022 | ACL | Prompt-Driven Neural Machine Translation. | Yafu Li, Yongjing Yin, Jing Li, Yue Zhang |
| 2022 | COLING | Categorizing Semantic Representations for Neural Machine Translation. | Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2022 | EMNLP | Multi-Granularity Optimization for Non-Autoregressive Translation. | Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang |
| 2021 | ACL | On Compositional Generalization of Neural Machine Translation. | Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang |