Zhilin Yang

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 75

Top Topics

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Publications

Yanru Chen, Yanan Zheng, Zhilin Yang
Prompt-Based Metric Learning for Few-Shot NER. ACL (Findings) (2023)
Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang
Compositional Task Representations for Large Language Models. ICLR (2023)
Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang
A Universal Discriminator for Zero-Shot Generalization. ACL (1) (2023)
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)
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 (2023)
Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. ICLR (2023)
Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL (1) (2022)
Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang
A Universal Discriminator for Zero-Shot Generalization. CoRR (2022)
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 (2022)
Yanru Chen, Yanan Zheng, Zhilin Yang
Prompt-Based Metric Learning for Few-Shot NER. CoRR (2022)
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)
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)
Chonghua Liao, Yanan Zheng, Zhilin Yang
Zero-Label Prompt Selection. CoRR (2022)
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 (2022)
Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang
GPS: Genetic Prompt Search for Efficient Few-shot Learning. CoRR (2022)
Zhilin Yang
Safety recognition and analysis in skiing with future internet framework support. Internet Technol. Lett. 5 (5) (2022)
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)
Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. ICML (2022)
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)
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)
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)
Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. CoRR (2021)
Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang
FastMoE: A Fast Mixture-of-Expert Training System. CoRR (2021)
Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang
Distribution Matching for Rationalization. CoRR (2021)
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR (2021)
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 (2021)
Ling Ge, Xiaoyan Wang, Zhilin Yang
The strategic choice of contract types in business process outsourcing. Bus. Process. Manag. J. 27 (5) (2021)
Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR (2021)
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
GPT Understands, Too. CoRR (2021)
Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang
Distribution Matching for Rationalization. AAAI (2021)
Nibing Zhu, Chang Liu, Zhilin Yang
Team Size, Research Variety, and Research Performance: Do Coauthors' Coauthors Matter? J. Informetrics 15 (4) (2021)
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)
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD (2021)
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 (2021)
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 (2021)
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 (2021)
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)
Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le
Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS (2019)
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR (2019)
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS (2019)
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 (2019)
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) (2018)
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)
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)
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR (2018)
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) (2018)
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR (2018)
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 (2018)
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP (2018)
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 (2018)
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR (2018)
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)
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR (2017)
Fan Yang, Zhilin Yang, William W. Cohen
Differentiable Learning of Logical Rules for Knowledge Base Reasoning. NIPS (2017)
Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Linguistic Knowledge as Memory for Recurrent Neural Networks. CoRR (2017)
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Gated-Attention Readers for Text Comprehension. ACL (1) (2017)
Fan Yang, Zhilin Yang, William W. Cohen
Differentiable Learning of Logical Rules for Knowledge Base Completion. CoRR (2017)
Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley
A Probabilistic Framework for Location Inference from Social Media. CoRR (2017)
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. CoRR (2017)
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)
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. ICLR (Poster) (2017)
Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
Good Semi-supervised Learning that Requires a Bad GAN. CoRR (2017)
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR (2017)
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 (2017)
Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
Good Semi-supervised Learning That Requires a Bad GAN. NIPS (2017)
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) (2017)
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
Multi-Task Cross-Lingual Sequence Tagging from Scratch. CoRR (2016)
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Revisiting Semi-Supervised Learning with Graph Embeddings. ICML (2016)
Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
Review Networks for Caption Generation. NIPS (2016)
Zhilin Yang, Jie Tang, William W. Cohen
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI (2016)
Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR (2016)
Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR (2016)
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Revisiting Semi-Supervised Learning with Graph Embeddings. CoRR (2016)
Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD (2015)
Zhilin Yang, Jie Tang
Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. CoRR (2015)
Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing
Active learning for networked data based on non-progressive diffusion model. WSDM (2014)
Zhilin Yang, Jie Tang, Yutao Zhang
Active Learning for Streaming Networked Data. CIKM (2014)
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) (2013)
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)
Zhilin Yang, Donal O'Regan
Positive solutions of a focal problem for one-dimensional p-Laplacian equations. Math. Comput. Model. 55 (7-8) (2012)
Zhilin Yang
Positive solutions for a system of nonlinear Hammerstein integral equations and applications. Appl. Math. Comput. 218 (22) (2012)
Zhilin Yang
Positive solutions for a system of p-Laplacian boundary value problems. Comput. Math. Appl. 62 (12) (2011)
Zhilin Yang
Positive solutions of a 2nth-order boundary value problem involving all derivatives via the order reduction method. Comput. Math. Appl. 61 (4) (2011)
Zhilin Yang
Existence of positive solutions for a system of generalized Lidstone problems. Comput. Math. Appl. 60 (3) (2010)
Zhilin Yang
Existence and uniqueness of positive solutions for a higher order boundary value problem. Comput. Math. Appl. 54 (2) (2007)
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) (2005)
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)