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Li Dong
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Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification


Jan 10, 2023
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng

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Language Models as Inductive Reasoners


Dec 21, 2022
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei

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Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers


Dec 21, 2022
Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei

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A Length-Extrapolatable Transformer


Dec 20, 2022
Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei

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* 9 pages 
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GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator


Dec 20, 2022
Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Zhoujun Li, Furu Wei

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Optimizing Prompts for Text-to-Image Generation


Dec 19, 2022
Yaru Hao, Zewen Chi, Li Dong, Furu Wei

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* 10 pages 
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Structured Prompting: Scaling In-Context Learning to 1,000 Examples


Dec 13, 2022
Yaru Hao, Yutao Sun, Li Dong, Zhixiong Han, Yuxian Gu, Furu Wei

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* 14 pages 
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Extensible Prompts for Language Models


Dec 01, 2022
Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei

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* Work in progress 
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TorchScale: Transformers at Scale


Nov 23, 2022
Shuming Ma, Hongyu Wang, Shaohan Huang, Wenhui Wang, Zewen Chi, Li Dong, Alon Benhaim, Barun Patra, Vishrav Chaudhary, Xia Song, Furu Wei

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* Work in progress 
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Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System


Oct 27, 2022
Li Dong, Zhibin Liu, Feibo Jiang, Kezhi Wang

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* IEEE Internet of Things Journal ( Volume: 9, Issue: 21, 01 November 2022) 
 * 11 pages, 7 figures, 4 tables 
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