Global encoding for abstractive summarization
Original
Junyang Lin, Xu Sun, Shuming Ma, and Qi Su. 2018 · 2018
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Query and output: Generating words by querying distributed word representations for paraphrase generation
Original
Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, and Xuancheng Ren. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
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Commonsense knowledge aware conversation generation with graph attention
Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018 · 2018
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Audio visual scene-aware dialog
Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K Marks, Chiori Hori, Peter Anderson, et al. 2019 · 2019
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Implicit deep latent variable models for text generation
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, and Changyou Chen. 2019 · 2019
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Grounded response generation task at dstc7
Michel Galley, Chris Brockett, Xiang Gao, Jianfeng Gao, and Bill Dolan. 2019 · 2019
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Large-scale transfer learning for natural language generation
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, and Thomas Wolf. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Cmu sinbad’s submission for the dstc7 avsd challenge
Ramon Sanabria, Shruti Palaskar, and Florian Metze. 2019 · 2019
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PLATO: Pre-trained dialogue generation model with discrete latent variable
Siqi Bao, Huang He, Fan Wang, Hua Wu, and Haifeng Wang. 2020 · 2020
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Prophetnet: Predicting future n-gram for sequence-to-sequence pre-training
Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, and Ming Zhou. 2020 · 2020
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A large-scale chinese short-text conversation dataset
Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, and Minlie Huang. 2020 · 2020
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Unified pre-training for program understanding and generation
Original
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021 · 2021
Closest in time.
Codexglue: A machine learning benchmark dataset for code understanding and generation
Original
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al. 2021 · 2021
Closest in time.