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ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization



Hanwei Xu , Yujun Chen , Yulun Du , Nan Shao , Yanggang Wang , Haiyu Li , Zhilin Yang

* 23 pages 

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NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework



Xingcheng Yao , Yanan Zheng , Xiaocong Yang , Zhilin Yang

* 13 pages, 5 figures 

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P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks



Xiao Liu , Kaixuan Ji , Yicheng Fu , Zhengxiao Du , Zhilin Yang , Jie Tang


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



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



Jing Zhou , Yanan Zheng , Jie Tang , Jian Li , Zhilin Yang


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Distribution Matching for Rationalization



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



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



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



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


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GPT Understands, Too



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


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