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ORCIDZhilin Yang
Zhi-Lin Yang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j14]Xiao Liu
, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT understands, too. AI Open 5: 208-215 (2024)- 2023
- [c39]Yanru Chen, Yanan Zheng, Zhilin Yang:
Prompt-Based Metric Learning for Few-Shot NER. ACL (Findings) 2023: 7199-7212 - [c38]Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang:
A Universal Discriminator for Zero-Shot Generalization. ACL (1) 2023: 10559-10575 - [c37]Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang:
Compositional Task Representations for Large Language Models. ICLR 2023 - [c36]Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang:
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. ICLR 2023 - [c35]Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD 2023: 5673-5684 - [i35]Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang:
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. CoRR abs/2303.17568 (2023) - 2022
- [j13]Zhilin Yang:
Safety recognition and analysis in skiing with future internet framework support. Internet Technol. Lett. 5(5) (2022) - [c34]Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. ACL (2) 2022: 61-68 - [c33]Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
GLM: General Language Model Pretraining with Autoregressive Blank Infilling. ACL (1) 2022: 320-335 - [c32]Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang:
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. ACL (1) 2022: 501-516 - [c31]Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang:
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL (1) 2022: 8646-8665 - [c30]Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang:
ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization. EMNLP (Findings) 2022: 4235-4252 - [c29]Zhihao Wang, Zongyu Lin, Junjie Wen, Xianxin Chen, Peiqi Liu, Guidong Zheng, Yujun Chen, Zhilin Yang:
Learning to Detect Noisy Labels Using Model-Based Features. EMNLP (Findings) 2022: 5796-5808 - [c28]Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang:
GPS: Genetic Prompt Search for Efficient Few-Shot Learning. EMNLP 2022: 8162-8171 - [c27]Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang:
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. ICML 2022: 25438-25451 - [i34]Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang:
ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization. CoRR abs/2201.06910 (2022) - [i33]Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang:
GPS: Genetic Prompt Search for Efficient Few-shot Learning. CoRR abs/2210.17041 (2022) - [i32]Yanru Chen, Yanan Zheng, Zhilin Yang:
Prompt-Based Metric Learning for Few-Shot NER. CoRR abs/2211.04337 (2022) - [i31]Chonghua Liao, Yanan Zheng, Zhilin Yang:
Zero-Label Prompt Selection. CoRR abs/2211.04668 (2022) - [i30]Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang:
A Universal Discriminator for Zero-Shot Generalization. CoRR abs/2211.08099 (2022) - [i29]Zhihao Wang, Zongyu Lin, Peiqi Liu, Guidong Zheng, Junjie Wen, Xianxin Chen, Yujun Chen, Zhilin Yang:
Learning to Detect Noisy Labels Using Model-Based Features. CoRR abs/2212.13767 (2022) - 2021
- [j12]Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang:
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open 2: 65-68 (2021) - [j11]Ling Ge, Xiaoyan Wang, Zhilin Yang:
The strategic choice of contract types in business process outsourcing. Bus. Process. Manag. J. 27(5): 1569-1589 (2021) - [j10]Nibing Zhu, Chang Liu, Zhilin Yang:
Team Size, Research Variety, and Research Performance: Do Coauthors' Coauthors Matter? J. Informetrics 15(4): 101205 (2021) - [c26]Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. AAAI 2021: 13090-13097 - [c25]Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang:
Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD 2021: 2450-2460 - [c24]Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang:
The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). KDD 2021: 4119-4120 - [i28]Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang:
All NLP Tasks Are Generation Tasks: A General Pretraining Framework. CoRR abs/2103.10360 (2021) - [i27]Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT Understands, Too. CoRR abs/2103.10385 (2021) - [i26]Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang:
Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR abs/2103.10685 (2021) - [i25]Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang:
FastMoE: A Fast Mixture-of-Expert Training System. CoRR abs/2103.13262 (2021) - [i24]Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. CoRR abs/2106.00320 (2021) - [i23]Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang:
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR abs/2108.06332 (2021) - [i22]Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang:
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. CoRR abs/2109.12742 (2021) - [i21]Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang:
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. CoRR abs/2110.07602 (2021) - [i20]Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang:
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. CoRR abs/2111.04130 (2021)
2010 – 2019
- 2019
- [c23]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) 2019: 2978-2988 - [c22]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS 2019: 5754-5764 - [c21]Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le:
Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS 2019: 15922-15930 - [i19]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860 (2019) - [i18]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR abs/1906.08237 (2019) - 2018
- [j9]Ling (Alice) Jiang, Nibing Zhu, Zhilin Yang, Shen Xu, Minjoon Jun:
The relationships between distance factors and international collaborative research outcomes: A bibliometric examination. J. Informetrics 12(3): 618-630 (2018) - [c20]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP 2018: 369-379 - [c19]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018: 2369-2380 - [c18]Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen:
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR 2018 - [c17]Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston:
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. ICLR (Poster) 2018 - [c16]Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) 2018: 42-48 - [c15]Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun:
GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS 2018: 8964-8975 - [i17]Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR abs/1804.05922 (2018) - [i16]Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun:
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR abs/1806.05662 (2018) - [i15]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR abs/1808.09861 (2018) - [i14]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR abs/1809.09600 (2018) - 2017
- [c14]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) 2017: 1040-1050 - [c13]Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Gated-Attention Readers for Text Comprehension. ACL (1) 2017: 1832-1846 - [c12]Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov:
Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) 2017 - [c11]Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen:
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. ICLR (Poster) 2017 - [c10]Fan Yang, Zhilin Yang, William W. Cohen:
Differentiable Learning of Logical Rules for Knowledge Base Reasoning. NIPS 2017: 2319-2328 - [c9]Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov:
Good Semi-supervised Learning That Requires a Bad GAN. NIPS 2017: 6510-6520 - [i13]Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR abs/1702.02206 (2017) - [i12]Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley:
A Probabilistic Framework for Location Inference from Social Media. CoRR abs/1702.07281 (2017) - [i11]Fan Yang, Zhilin Yang, William W. Cohen:
Differentiable Learning of Logical Rules for Knowledge Base Completion. CoRR abs/1702.08367 (2017) - [i10]Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Linguistic Knowledge as Memory for Recurrent Neural Networks. CoRR abs/1703.02620 (2017) - [i9]Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen:
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. CoRR abs/1703.06345 (2017) - [i8]Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov:
Good Semi-supervised Learning that Requires a Bad GAN. CoRR abs/1705.09783 (2017) - [i7]Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen:
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR abs/1711.03953 (2017) - [i6]Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston:
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. CoRR abs/1711.07950 (2017) - 2016
- [c8]Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Revisiting Semi-Supervised Learning with Graph Embeddings. ICML 2016: 40-48 - [c7]Zhilin Yang, Jie Tang, William W. Cohen:
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI 2016: 2287-2293 - [c6]Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov:
Review Networks for Caption Generation. NIPS 2016: 2361-2369 - [i5]Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen:
Multi-Task Cross-Lingual Sequence Tagging from Scratch. CoRR abs/1603.06270 (2016) - [i4]Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Revisiting Semi-Supervised Learning with Graph Embeddings. CoRR abs/1603.08861 (2016) - [i3]Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen:
Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR abs/1605.07912 (2016) - [i2]Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov:
Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR abs/1611.01724 (2016) - 2015
- [c5]Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu:
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD 2015: 1485-1494 - [i1]Zhilin Yang, Jie Tang:
Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. CoRR abs/1508.00715 (2015) - 2014
- [c4]Zhilin Yang, Jie Tang, Yutao Zhang:
Active Learning for Streaming Networked Data. CIKM 2014: 1129-1138 - [c3]Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing:
Active learning for networked data based on non-progressive diffusion model. WSDM 2014: 363-372 - 2013
- [j8]Jianan Wu, Yinglu Wu, Jie Sun, Zhilin Yang:
User reviews and uncertainty assessment: A two stage model of consumers' willingness-to-pay in online markets. Decis. Support Syst. 55(1): 175-185 (2013) - [c2]Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang:
SAE: social analytic engine for large networks. KDD 2013: 1502-1505 - 2012
- [j7]Zhilin Yang:
Positive solutions for a system of nonlinear Hammerstein integral equations and applications. Appl. Math. Comput. 218(22): 11138-11150 (2012) - [j6]Zhilin Yang, Donal O'Regan:
Positive solutions of a focal problem for one-dimensional p-Laplacian equations. Math. Comput. Model. 55(7-8): 1942-1950 (2012) - 2011
- [j5]Zhilin Yang:
Positive solutions of a 2nth-order boundary value problem involving all derivatives via the order reduction method. Comput. Math. Appl. 61(4): 822-831 (2011) - [j4]Zhilin Yang:
Positive solutions for a system of p-Laplacian boundary value problems. Comput. Math. Appl. 62(12): 4429-4438 (2011) - 2010
- [j3]Zhilin Yang:
Existence of positive solutions for a system of generalized Lidstone problems. Comput. Math. Appl. 60(3): 501-510 (2010)
2000 – 2009
- 2007
- [j2]Zhilin Yang:
Existence and uniqueness of positive solutions for a higher order boundary value problem. Comput. Math. Appl. 54(2): 220-228 (2007) - 2005
- [j1]Zhilin Yang, Shaohan Cai, Zheng Zhou, Nan Zhou:
Development and validation of an instrument to measure user perceived service quality of information presenting Web portals. Inf. Manag. 42(4): 575-589 (2005) - 2003
- [c1]Bessie Chong, Zhilin Yang, Michael C. S. Wong:
Asymmetrical impact of trustworthiness attributes on trust, perceived value and purchase intention: a conceptual framework for cross-cultural study on consumer perception of online auction. ICEC 2003: 213-219
Coauthor Index
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