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FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding


Sep 27, 2021
Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang


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FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning


Aug 13, 2021
Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang


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Distribution Matching for Rationalization


Jun 01, 2021
Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang

* AAAI 2021 
* Accepted by AAAI2021 

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VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images


May 27, 2021
Xu Cao, Zijie Chen, Bolin Lai, Yuxuan Wang, Yu Chen, Zhengqing Cao, Zhilin Yang, Nanyang Ye, Junbo Zhao, Xiao-Yun Zhou, Peng Qi


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FastMoE: A Fast Mixture-of-Expert Training System


Mar 24, 2021
Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang


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Controllable Generation from Pre-trained Language Models via Inverse Prompting


Mar 19, 2021
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang


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GPT Understands, Too


Mar 18, 2021
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang


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All NLP Tasks Are Generation Tasks: A General Pretraining Framework


Mar 18, 2021
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

* 14 pages, 3 figures 

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XLNet: Generalized Autoregressive Pretraining for Language Understanding


Jun 19, 2019
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le

* Pretrained models and code are available at https://github.com/zihangdai/xlnet 

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Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context


Jan 18, 2019
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov

* Code and pretrained models are available at https://github.com/kimiyoung/transformer-xl 

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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering


Sep 25, 2018
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning

* EMNLP 2018 long paper. The first three authors contribute equally. Data, code, and blog posts available at https://hotpotqa.github.io/ 

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Neural Cross-Lingual Named Entity Recognition with Minimal Resources


Sep 11, 2018
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime Carbonell

* EMNLP 2018 long paper 

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GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations


Jul 02, 2018
Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun


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Neural Models for Reasoning over Multiple Mentions using Coreference


Apr 16, 2018
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

* NAACL 2018 (Short Paper) 

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Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent


Apr 16, 2018
Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston


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Breaking the Softmax Bottleneck: A High-Rank RNN Language Model


Mar 02, 2018
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen

* ICLR Oral 2018 

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Differentiable Learning of Logical Rules for Knowledge Base Reasoning


Nov 27, 2017
Fan Yang, Zhilin Yang, William W. Cohen

* Accepted at NIPS 2017 

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Good Semi-supervised Learning that Requires a Bad GAN


Nov 03, 2017
Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov

* NIPS 2017 camera ready 

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Words or Characters? Fine-grained Gating for Reading Comprehension


Sep 11, 2017
Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov

* Accepted as a conference paper at ICLR 2017 

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Semi-Supervised QA with Generative Domain-Adaptive Nets


Apr 22, 2017
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen

* Accepted as a long paper at ACL2017 

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Gated-Attention Readers for Text Comprehension


Apr 21, 2017
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

* Accepted at ACL 2017 

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Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks


Mar 18, 2017
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen

* Accepted as a conference paper at ICLR 2017. This is an extended version of the original paper (https://arxiv.org/abs/1603.06270). The original paper proposes a new architecture, while this version focuses on transfer learning for a general model class 

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Linguistic Knowledge as Memory for Recurrent Neural Networks


Mar 07, 2017
Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov


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A Probabilistic Framework for Location Inference from Social Media


Mar 01, 2017
Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley


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Review Networks for Caption Generation


Oct 27, 2016
Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen

* NIPS 2016 

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Multi-Task Cross-Lingual Sequence Tagging from Scratch


Aug 09, 2016
Zhilin Yang, Ruslan Salakhutdinov, William Cohen


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Revisiting Semi-Supervised Learning with Graph Embeddings


May 26, 2016
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

* ICML 2016 

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Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs


Apr 20, 2016
Zhilin Yang, Jie Tang, William Cohen


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