Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Dathathri, S.; Madotto, A.; Lan, J.; Hung, J.; Frank, E.; Molino, P.; Yosinski, J.; and Liu, R. 2019 · 2019
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Unified language model pre-training for natural language understanding and generation
Dong, L.; Yang, N.; Wang, W.; Wei, F.; Liu, X.; Wang, Y.; Gao, J.; Zhou, M.; and Hon, H.-W. 2019 · 2019
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Implicit Deep Latent Variable Models for Text Generation
Fang, L.; Li, C.; Gao, J.; Dong, W.; and Chen, C. 2019 · 2019
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The Curious Case of Neural Text Degeneration
Holtzman, A.; Buys, J.; Du, L.; Forbes, M.; and Choi, Y. 2019 · 2019
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Towards Comprehensive Description Generation from Factual Attribute-value Tables
Liu, T.; Luo, F.; Yang, P.; Wu, W.; Chang, B.; and Sui, Z. 2019 · 2019
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Improving Neural Story Generation by Targeted Common Sense Grounding
Mao, H. H.; Majumder, B. P.; McAuley, J.; and Cottrell, G. 2019 · 2019
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Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
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Do Massively Pretrained Language Models Make Better Storytellers?
See, A.; Pappu, A.; Saxena, R.; Yerukola, A.; and Manning, C. D. 2019 · 2019
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MASS: Masked Sequence to Sequence Pre-training for Language Generation
Song, K.; Tan, X.; Qin, T.; Lu, J.; and Liu, T.-Y. 2019 · 2019
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Plan-and-write: Towards better automatic storytelling
Yao, L.; Peng, N.; Weischedel, R.; Knight, K.; Zhao, D.; and Yan, R. 2019 · 2019
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Defending against neural fake news
Zellers, R.; Holtzman, A.; Rashkin, H.; Bisk, Y.; Farhadi, A.; Roesner, F.; and Choi, Y. 2019 · 2019
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Oxford guide to plain English
Cutts, M. 2020 · 2020
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Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
Wang, Z.; Wang, X.; An, B.; Yu, D.; and Chen, C. 2020 · 2020
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