Yang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 162

Top Venues

CoRR

ACL (1)

IEEE ACM Trans. Audio Speech Lang. Process.

AAAI

Publications

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion. CoRR (2024)
Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu
Discovering symbolic expressions with parallelized tree search. CoRR (2024)
Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement. CoRR (2024)
Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. ACL (Findings) (2024)
Yile Wang, Yue Zhang, Peng Li, Yang Liu
Gradual Syntactic Label Replacement for Language Model Pre-Training. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Model Composition for Multimodal Large Language Models. CoRR (2024)
Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models. CoRR (2024)
Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu
Black-Box Prompt Tuning With Subspace Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Ziyang Yu, Wenbing Huang, Yang Liu
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction. ICLR (2024)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. LREC/COLING (2024)
Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models. ACL (1) (2024)
Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
Budget-Constrained Tool Learning with Planning. CoRR (2024)
Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. ACL (1) (2024)
Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR (2024)
Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Model Composition for Multimodal Large Language Models. ACL (1) (2024)
Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu
Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules. CoRR (2024)
Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. ACL (1) (2024)
Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models. CoRR (2024)
Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR (2024)
Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning. CoRR (2024)
Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu
Space Group Constrained Crystal Generation. ICLR (2024)
Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu
Restricted orthogonal gradient projection for continual learning. AI Open 4 (2023)
Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation. ACL (1) (2023)
Qinhong Zhou, Peng Li, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu
AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation. AI Open 4 (2023)
Xiangzhe Kong, Wenbing Huang, Yang Liu
End-to-End Full-Atom Antibody Design. ICML (2023)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR (2023)
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
Learning to Relate to Previous Turns in Conversational Search. KDD (2023)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. CoRR (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML (2023)
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. AAAI (2023)
Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. ACL (1) (2023)
Chi Chen, Peng Li, Maosong Sun, Yang Liu
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. ACL (1) (2023)
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5 (3) (2023)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. CoRR (2023)
Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu
Continual Knowledge Distillation for Neural Machine Translation. ACL (1) (2023)
Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. ACL (1) (2023)
Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. ACL (Findings) (2023)
Xiangzhe Kong, Wenbing Huang, Yang Liu
Conditional Antibody Design as 3D Equivariant Graph Translation. ICLR (2023)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. NeurIPS (2022)
Zhixing Tan, Zeyuan Yang, Meng Zhang, Qun Liu, Maosong Sun, Yang Liu
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR (2022)
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
3D Equivariant Molecular Graph Pretraining. CoRR (2022)
Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Maosong Sun
Data augmentation for low-resource languages NMT guided by constrained sampling. Int. J. Intell. Syst. 37 (1) (2022)
Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu
A Template-based Method for Constrained Neural Machine Translation. CoRR (2022)
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP (2022)
Yang Liu, Jiaxiang Liu, Li Chen, Yuxiang Lu, Shikun Feng, Zhida Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention. CoRR (2022)
Shuo Wang, Zhixing Tan, Yang Liu
Integrating Vectorized Lexical Constraints for Neural Machine Translation. CoRR (2022)
Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. ACL (1) (2022)
Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu
Molecule Generation by Principal Subgraph Mining and Assembling. NeurIPS (2022)
Fuchao Wei, Chenglong Bao, Yang Liu
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. ICLR (2022)
Ziyao Lu, Xiang Li, Yang Liu, Chulun Zhou, Jianwei Cui, Bin Wang, Min Zhang, Jinsong Su
Exploring Multi-Stage Information Interactions for Multi-Source Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu
Transfer Learning for Sequence Generation: from Single-source to Multi-source. ACL/IJCNLP (1) (2021)
Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. CoRR (2021)
Jiali Zeng, Yongjing Yin, Yang Liu, Yubin Ge, Jinsong Su
Domain Adaptive Meta-Learning for Dialogue State Tracking. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Gang Chen, Maosong Sun, Yang Liu
Towards a universal continuous knowledge base. AI Open 2 (2021)
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
CPM-2: Large-scale Cost-effective Pre-trained Language Models. CoRR (2021)
Chi Chen, Maosong Sun, Yang Liu
Mask-Align: Self-Supervised Neural Word Alignment. ACL/IJCNLP (1) (2021)
Fuchao Wei, Chenglong Bao, Yang Liu
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. NeurIPS (2021)
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. CoRR (2021)
Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. ACL/IJCNLP (Findings) (2021)
Xiangzhe Kong, Zhixing Tan, Yang Liu
GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures. CoRR (2021)
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu
On the Language Coverage Bias for Neural Machine Translation. CoRR (2021)
Jinsong Su, Jiali Zeng, Jun Xie, Huating Wen, Yongjing Yin, Yang Liu
Exploring Discriminative Word-Level Domain Contexts for Multi-Domain Neural Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu
Language Models are Good Translators. CoRR (2021)
Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
Pre-trained models: Past, present and future. AI Open 2 (2021)
Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu, Yang Liu
Self-Supervised Quality Estimation for Machine Translation. EMNLP (1) (2021)
Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Zegao Pan, Maosong Sun
Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (6) (2021)
Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. CoRR (2021)
Zhixing Tan, Maosong Sun, Yang Liu
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation. CoRR (2021)
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
CPM-2: Large-scale cost-effective pre-trained language models. AI Open 2 (2021)
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu
On the Language Coverage Bias for Neural Machine Translation. ACL/IJCNLP (Findings) (2021)
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Yang Liu
Neural Machine Translation With Explicit Phrase Alignment. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Fuchao Wei, Chenglong Bao, Yang Liu
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. CoRR (2021)
Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun
Learning to Generate Explainable Plots for Neural Story Generation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Mieradilijiang Maimaiti, Yang Liu, Yuanhang Zheng, Gang Chen, Kaiyu Huang, Ji Zhang, Huanbo Luan, Maosong Sun
Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision. EMNLP (1) (2021)
Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu
Transfer Learning for Sequence Generation: from Single-source to Multi-source. CoRR (2021)
Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu
On the Inference Calibration of Neural Machine Translation. ACL (2020)
Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang
Incorporating Sememes into Chinese Definition Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Gang Chen, Maosong Sun, Yang Liu
Towards a Universal Continuous Knowledge Base. CoRR (2020)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. CoRR (2020)
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
Modeling Voting for System Combination in Machine Translation. CoRR (2020)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. ICML (2020)
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
Neural Machine Translation: A Review of Methods, Resources, and Tools. CoRR (2020)
Gang Chen, Shuo Wang, Xuancheng Huang, Zhixing Tan, Maosong Sun, Yang Liu
Tsinghua University Neural Machine Translation Systems for CCMT 2020. CCMT (2020)
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
Neural machine translation: A review of methods, resources, and tools. AI Open 1 (2020)
Zhixing Tan, Jiacheng Zhang, Xuancheng Huang, Gang Chen, Shuo Wang, Maosong Sun, Huanbo Luan, Yang Liu
THUMT: An Open-Source Toolkit for Neural Machine Translation. AMTA (2020)
Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu
On the Inference Calibration of Neural Machine Translation. CoRR (2020)
Chi Chen, Maosong Sun, Yang Liu
Mask-Align: Self-Supervised Neural Word Alignment. CoRR (2020)
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
Modeling Voting for System Combination in Machine Translation. IJCAI (2020)
Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
Multi-Zone Unit for Recurrent Neural Networks. AAAI (2020)
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Yang Liu
Neural Machine Translation with Explicit Phrase Alignment. CoRR (2019)
Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
Multi-Zone Unit for Recurrent Neural Networks. CoRR (2019)
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun
Improving Back-Translation with Uncertainty-based Confidence Estimation. EMNLP/IJCNLP (1) (2019)
Peng Cheng, Yutong Lu, Yunfei Du, Zhiguang Chen, Yang Liu
Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning. NPC (2019)
Yongjing Yin, Jinsong Su, Huating Wen, Jiali Zeng, Yang Liu, Yidong Chen
POS Tag-enhanced Coarse-to-fine Attention for Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18 (4) (2019)
Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun
Learning to Copy for Automatic Post-Editing. EMNLP/IJCNLP (1) (2019)
Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang
Incorporating Sememes into Chinese Definition Modeling. CoRR (2019)
Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo
Iterative Dual Domain Adaptation for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. ACL (1) (2019)
Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun
Learning to Copy for Automatic Post-Editing. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Liu