Yafu Li

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Semantic Representations

Natural Language Understanding

Machine Translation

Top Venues

Publications

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)
Jianhao Yan, Futing Wang, Yafu Li, Yue Zhang
Potential and Challenges of Model Editing for Social Debiasing. CoRR (2024)
Yongjing Yin, Lian Fu, Yafu Li, Yue Zhang
On compositional generalization of transformer-based neural machine translation. Inf. Fusion 111 (2024)
Yafu Li, Shinian Li, Heng Yu, Wu Zhuang
Multi-level Contrastive Learning for Keyphrase Generation. ICIC (LNAI 3) (2024)
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)
Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang
Understanding In-Context Learning from Repetitions. ICLR (2024)
Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. CoRR (2024)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation. CoRR (2024)
Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang
What Have We Achieved on Non-autoregressive Translation? ACL (Findings) (2024)
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 (2024)
Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang
What Have We Achieved on Non-autoregressive Translation? CoRR (2024)
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 (2023)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
Consistency Regularization Training for Compositional Generalization. ACL (1) (2023)
Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang
Understanding In-Context Learning from Repetitions. CoRR (2023)
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 (2023)
Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang
Explicit Syntactic Guidance for Neural Text Generation. ACL (1) (2023)
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)
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
Deepfake Text Detection in the Wild. CoRR (2023)
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)
Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang
Explicit Syntactic Guidance for Neural Text Generation. CoRR (2023)
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 (2023)
Leyang Cui, Yafu Li, Yue Zhang
Label Attention Network for Structured Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
Categorizing Semantic Representations for Neural Machine Translation. COLING (2022)
Yafu Li, Yongjing Yin, Jing Li, Yue Zhang
Prompt-Driven Neural Machine Translation. ACL (Findings) (2022)
Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang
Multi-Granularity Optimization for Non-Autoregressive Translation. EMNLP (2022)
Yafu Li, Leyang Cui, Yongjing Yin, Yue Zhang
Multi-Granularity Optimization for Non-Autoregressive Translation. CoRR (2022)
Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
Categorizing Semantic Representations for Neural Machine Translation. CoRR (2022)
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 (2022)
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)
Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
On Compositional Generalization of Neural Machine Translation. ACL/IJCNLP (1) (2021)
Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
On Compositional Generalization of Neural Machine Translation. CoRR (2021)