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2020 – today
- 2025
[c21]Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng:
SEE: Continual Fine-tuning with Sequential Ensemble of Experts. ACL (Findings) 2025: 7418-7432- [c20]Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang:
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. ACL (1) 2025: 12740-12755 - [c19]Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang:
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. ACL (1) 2025: 12875-12894 - [c18]Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang:
Keys to Robust Edits: From Theoretical Insights to Practical Advances. ACL (1) 2025: 22545-22560 - [c17]Heng Yu, Yafu Li, Wu Zhuang:
Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features. ICIC (21) 2025: 281-292 - [c16]Fang Guo
, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang:
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. WSDM 2025: 944-953 - [i34]Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng:
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. CoRR abs/2501.11877 (2025) - [i33]Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng:
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. CoRR abs/2501.12895 (2025) - [i32]Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang:
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. CoRR abs/2502.15208 (2025) - [i31]Sen Yang, Yafu Li, Wai Lam, Yu Cheng:
Multi-LLM Collaborative Search for Complex Problem Solving. CoRR abs/2502.18873 (2025) - [i30]Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang:
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. CoRR abs/2503.04369 (2025) - [i29]Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i28]Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng:
SEE: Continual Fine-tuning with Sequential Ensemble of Experts. CoRR abs/2504.06664 (2025) - [i27]Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang:
Learning to Reason under Off-Policy Guidance. CoRR abs/2504.14945 (2025) - [i26]Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng:
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. CoRR abs/2505.14810 (2025) - [i25]Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng:
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning. CoRR abs/2506.04207 (2025) - [i24]Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu:
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. CoRR abs/2507.18576 (2025) - [i23]Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng:
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning. CoRR abs/2509.04059 (2025) - [i22]Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i21]Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng:
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration. CoRR abs/2509.14760 (2025) - [i20]Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao:
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models. CoRR abs/2509.23962 (2025) - [i19]Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng:
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting. CoRR abs/2509.24304 (2025) - [i18]Yuxian Jiang, Yafu Li, Guanxu Chen, Dongrui Liu, Yu Cheng, Jing Shao:
Rethinking Entropy Regularization in Large Reasoning Models. CoRR abs/2509.25133 (2025) - [i17]Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang:
Diversity-Incentivized Exploration for Versatile Reasoning. CoRR abs/2509.26209 (2025) - 2024
- [j2]Yongjing Yin, Lian Fu, Yafu Li, Yue Zhang:
On compositional generalization of transformer-based neural machine translation. Inf. Fusion 111: 102491 (2024) - [c15]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
MAGE: Machine-generated Text Detection in the Wild. ACL (1) 2024: 36-53 - [c14]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. ACL (Findings) 2024: 7088-7107 - [c13]Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang:
What Have We Achieved on Non-autoregressive Translation? ACL (Findings) 2024: 7585-7606 - [c12]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang:
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. EMNLP (Findings) 2024: 14767-14779 - [c11]Yafu Li, Shinian Li, Heng Yu, Wu Zhuang:
Multi-level Contrastive Learning for Keyphrase Generation. ICIC (LNAI 3) 2024: 238-249 - [c10]Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang:
Understanding In-Context Learning from Repetitions. ICLR 2024 - [i16]Jianhao Yan, Futing Wang, Yafu Li, Yue Zhang:
Potential and Challenges of Model Editing for Social Debiasing. CoRR abs/2402.13462 (2024) - [i15]Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang:
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. CoRR abs/2404.11960 (2024) - [i14]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. CoRR abs/2405.12689 (2024) - [i13]Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang:
What Have We Achieved on Non-autoregressive Translation? CoRR abs/2405.12788 (2024) - [i12]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang:
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. CoRR abs/2406.01441 (2024) - [i11]Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang:
Keys to Robust Edits: from Theoretical Insights to Practical Advances. CoRR abs/2410.09338 (2024) - 2023
- [c9]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Consistency Regularization Training for Compositional Generalization. ACL (1) 2023: 1294-1308 - [c8]Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang:
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. ACL (1) 2023: 9332-9351 - [c7]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) 2023: 12731-12750 - [c6]Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang:
Explicit Syntactic Guidance for Neural Text Generation. ACL (1) 2023: 14095-14112 - [i10]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
Deepfake Text Detection in the Wild. CoRR abs/2305.13242 (2023) - [i9]Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang:
Explicit Syntactic Guidance for Neural Text Generation. CoRR abs/2306.11485 (2023) - [i8]Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang:
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation. CoRR abs/2307.04018 (2023) - [i7]Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang:
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. CoRR abs/2308.08747 (2023) - [i6]Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi:
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. CoRR abs/2309.01219 (2023) - [i5]Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang:
Understanding In-Context Learning from Repetitions. CoRR abs/2310.00297 (2023) - 2022
- [j1]Leyang Cui, Yafu Li, Yue Zhang:
Label Attention Network for Structured Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1235-1248 (2022) - [c5]Yafu Li, Yongjing Yin, Jing Li, Yue Zhang:
Prompt-Driven Neural Machine Translation. ACL (Findings) 2022: 2579-2590 - [c4]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. COLING 2022: 5227-5239 - [c3]Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang:
Multi-Granularity Optimization for Non-Autoregressive Translation. EMNLP 2022: 5073-5084 - [i4]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. CoRR abs/2210.06709 (2022) - [i3]Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang:
Multi-Granularity Optimization for Non-Autoregressive Translation. CoRR abs/2210.11017 (2022) - [i2]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - 2021
- [c2]Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang:
On Compositional Generalization of Neural Machine Translation. ACL/IJCNLP (1) 2021: 4767-4780 - [c1]Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, Yue Zhang:
Sentence-State LSTMs For Sequence-to-Sequence Learning. NLPCC (1) 2021: 104-115 - [i1]Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang:
On Compositional Generalization of Neural Machine Translation. CoRR abs/2105.14802 (2021)
Coauthor Index
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