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ORCIDZhixing Tan
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2020 – today
- 2024
[j5]Yuanhang Zheng
, Zhixing Tan, Peng Li, Yang Liu:
Black-Box Prompt Tuning With Subspace Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3002-3013 (2024)- [c20]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. ACL (Findings) 2024: 11789-11804 - [i17]Tianyu Cui, Yanling Wang, Chuanpu Fu, Yong Xiao, Sijia Li, Xinhao Deng, Yunpeng Liu, Qinglin Zhang, Ziyi Qiu, Peiyang Li, Zhixing Tan, Junwu Xiong, Xinyu Kong, Zujie Wen, Ke Xu, Qi Li:
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. CoRR abs/2401.05778 (2024) - [i16]Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun:
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. CoRR abs/2402.11453 (2024) - 2023
- [c19]Junjie Fang, Zhixing Tan, Xiaodong Shi:
COSYWA: Enhancing Semantic Integrity in Watermarking Natural Language Generation. NLPCC (1) 2023: 708-720 - [i15]Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu:
Black-box Prompt Tuning with Subspace Learning. CoRR abs/2305.03518 (2023) - [i14]Yansong Li, Zhixing Tan, Yang Liu:
Privacy-Preserving Prompt Tuning for Large Language Model Services. CoRR abs/2305.06212 (2023) - 2022
- [j4]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: 958-967 (2022) - [c18]Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu:
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. ACL (1) 2022: 6131-6142 - [c17]Shuo Wang, Zhixing Tan, Yang Liu:
Integrating Vectorized Lexical Constraints for Neural Machine Translation. ACL (1) 2022: 7063-7073 - [c16]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. EMNLP 2022: 3665-3679 - [c15]Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu:
Molecule Generation by Principal Subgraph Mining and Assembling. NeurIPS 2022 - [i13]Shuo Wang, Zhixing Tan, Yang Liu:
Integrating Vectorized Lexical Constraints for Neural Machine Translation. CoRR abs/2203.12210 (2022) - [i12]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. CoRR abs/2205.11255 (2022) - 2021
- [j3]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: 216-224 (2021) - [c14]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: 4778-4790 - [c13]Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, Jihong Zhu:
Knowledge Representation Learning with Contrastive Completion Coding. EMNLP (Findings) 2021: 3061-3073 - [c12]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: 3322-3334 - [i11]Zhixing Tan, Maosong Sun, Yang Liu:
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation. CoRR abs/2105.06679 (2021) - [i10]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu:
On the Language Coverage Bias for Neural Machine Translation. CoRR abs/2106.03297 (2021) - [i9]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 abs/2106.10715 (2021) - [i8]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu:
Language Models are Good Translators. CoRR abs/2106.13627 (2021) - [i7]Xiangzhe Kong, Zhixing Tan, Yang Liu:
GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures. CoRR abs/2106.15098 (2021) - [i6]Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu:
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. CoRR abs/2110.06609 (2021) - 2020
- [j2]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: 5-21 (2020) - [c11]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: 116-122 - [c10]Gang Chen, Shuo Wang, Xuancheng Huang, Zhixing Tan, Maosong Sun, Yang Liu:
Tsinghua University Neural Machine Translation Systems for CCMT 2020. CCMT 2020: 98-104 - [c9]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: 3694-3701 - [i5]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 abs/2007.06943 (2020) - [i4]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 abs/2012.15515 (2020)
2010 – 2019
- 2019
- [c8]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. EMNLP/IJCNLP (1) 2019: 803-812 - 2018
- [j1]Zhixing Tan, Jinsong Su, Boli Wang, Yidong Chen, Xiaodong Shi:
Lattice-to-sequence attentional Neural Machine Translation models. Neurocomputing 284: 138-147 (2018) - [c7]Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
Deep Semantic Role Labeling With Self-Attention. AAAI 2018: 4929-4936 - [c6]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian:
Neural Machine Translation with Decoding History Enhanced Attention. COLING 2018: 1464-1473 - [i3]Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. CoRR abs/1811.00287 (2018) - 2017
- [c5]Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu:
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. AAAI 2017: 3302-3308 - [c4]Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi:
XMU Neural Machine Translation Systems for WAT 2017. WAT@IJCNLP 2017: 95-98 - [c3]Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi:
XMU Neural Machine Translation Online Service. IJCNLP (System Demonstrations) 2017: 29-32 - [c2]Zhixing Tan, Boli Wang, Jinming Hu, Yidong Chen, Xiaodong Shi:
XMU Neural Machine Translation Systems for WMT 17. WMT 2017: 400-404 - [i2]Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi:
Deep Semantic Role Labeling with Self-Attention. CoRR abs/1712.01586 (2017) - 2016
- [c1]Boli Wang, Xiaodong Shi, Zhixing Tan, Yidong Chen, Weili Wang:
A Sentence Segmentation Method for Ancient Chinese Texts Based on NNLM. CLSW 2016: 387-396 - [i1]Jinsong Su, Zhixing Tan, Deyi Xiong, Yang Liu:
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. CoRR abs/1609.07730 (2016)
Coauthor Index
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