On Compositional Generalization of Neural Machine Translation. - Yafu Li; Yongjing Yin; Yulong Chen 001; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

Sentence-State LSTMs For Sequence-to-Sequence Learning. - Xuefeng Bai 001; Yafu Li; Zhirui Zhang; Mingzhou Xu; Boxing Chen; Weihua Luo; Derek F. Wong; Yue Zhang 004 (NLPCC (1), 2021)

Prompt-Driven Neural Machine Translation. - Yafu Li; Yongjing Yin; Jing Li; Yue Zhang 004 (ACL (Findings), 2022)

Categorizing Semantic Representations for Neural Machine Translation. - Yongjing Yin; Yafu Li; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (COLING, 2022)

Multi-Granularity Optimization for Non-Autoregressive Translation. - Yafu Li; Leyang Cui; Yongjing Yin; Yue Zhang 004 (EMNLP, 2022)

Label Attention Network for Structured Prediction. - Leyang Cui; Yafu Li; Yue Zhang 004 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Xianchao Zhu; Yue Zhang 004 (ACL (1), 2023)

Explicit Syntactic Guidance for Neural Text Generation. - Yafu Li; Leyang Cui; Jianhao Yan; Yongjing Yin; Wei Bi; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2023)

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. - Linyi Yang; Shuibai Zhang; Libo Qin 003; Yafu Li; Yidong Wang; Hanmeng Liu; Jindong Wang 001; Xing Xie 001; Yue Zhang 004 (ACL (Findings), 2023)

Consistency Regularization Training for Compositional Generalization. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Jie Zhou 016; Yue Zhang 004 (ACL (1), 2023)

Deepfake Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (CoRR, 2023)

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. - Yulong Chen 001; Huajian Zhang; Yijie Zhou; Xuefeng Bai 001; Yueguan Wang; Ming Zhong 005; Jianhao Yan; Yafu Li; Judy Li; Michael Zhu; Yue Zhang 004 (CoRR, 2023)

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. - Yun Luo; Zhen Yang; Fandong Meng; Yafu Li; Jie Zhou 016; Yue Zhang 004 (CoRR, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

MAGE: Machine-generated Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Zhilin Wang; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2024)

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. - Yafu Li; Zhilin Wang; Leyang Cui; Wei Bi; Shuming Shi 001; Yue Zhang 004 (ACL (Findings), 2024)

What Have We Achieved on Non-autoregressive Translation? - Yafu Li; Huajian Zhang; Jianhao Yan; Yongjing Yin; Yue Zhang 004 (ACL (Findings), 2024)

LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Yue Zhang 004 (EMNLP (Findings), 2024)

Multi-level Contrastive Learning for Keyphrase Generation. - Yafu Li; Shinian Li; Heng Yu; Wu Zhuang (ICIC (LNAI 3), 2024)

Understanding In-Context Learning from Repetitions. - Jianhao Yan; Jin Xu; Chiyu Song; Chenming Wu; Yafu Li; Yue Zhang 004 (ICLR, 2024)

Potential and Challenges of Model Editing for Social Debiasing. - Jianhao Yan; Futing Wang; Yafu Li; Yue Zhang 004 (CoRR, 2024)

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. - Fang Guo; Wenyu Li; Honglei Zhuang; Yun Luo; Yafu Li; Le Yan; Yue Zhang 004 (CoRR, 2024)

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. - Yongjing Yin; Jiali Zeng; Yafu Li; Fandong Meng; Yue Zhang 004 (CoRR, 2024)

Keys to Robust Edits: from Theoretical Insights to Practical Advances. - Jianhao Yan; Futing Wang; Yun Luo; Yafu Li; Yue Zhang 004 (CoRR, 2024)

On compositional generalization of transformer-based neural machine translation. - Yongjing Yin; Lian Fu; Yafu Li; Yue Zhang 004 (Inf. Fusion, 2024)

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 004 (ACL (1), 2025)

SEE: Continual Fine-tuning with Sequential Ensemble of Experts. - Zhilin Wang; Yafu Li; Xiaoye Qu; Yu Cheng 001 (ACL (Findings), 2025)

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. - Zhilin Wang; Yafu Li; Jianhao Yan; Yu Cheng 001; Yue Zhang 004 (ACL (1), 2025)

Keys to Robust Edits: From Theoretical Insights to Practical Advances. - Jianhao Yan; Futing Wang; Yun Luo; Yafu Li; Yue Zhang (ACL (1), 2025)

Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features. - Heng Yu; Yafu Li; Wu Zhuang (ICIC (21), 2025)

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 008; Yue Zhang 004 (WSDM, 2025)

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. - Yafu Li; Zhilin Wang; Tingchen Fu; Ganqu Cui; Sen Yang 005; Yu Cheng 001 (CoRR, 2025)

Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. - Yafu Li; Xuyang Hu; Xiaoye Qu; Linjie Li; Yu Cheng 001 (CoRR, 2025)

Multi-LLM Collaborative Search for Complex Problem Solving. - Sen Yang 005; Yafu Li; Wai Lam; Yu Cheng 001 (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)

Learning to Reason under Off-Policy Guidance. - Jianhao Yan; Yafu Li; Zican Hu; Zhi Wang; Ganqu Cui; Xiaoye Qu; Yu Cheng 001; Yue Zhang 004 (CoRR, 2025)

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. - Tingchen Fu; Jiawei Gu; Yafu Li; Xiaoye Qu; Yu Cheng 001 (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)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)