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Large transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities.
Transformer-xl: Attentive language models beyond a fixed-length context
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Style transformer: Unpaired text style transfer without disentangled latent representation
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Fine-tuning language models from human preferences
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A mathematical theory of communication
Claude Elwood Shannon · 1948
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Equation of state calculations by fast computing machines
Nicholas Metropolis, Arianna W Rosenbluth, Marshall N Rosenbluth, Augusta H Teller, and Edward Teller · 1953
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Exponential convergence of langevin distributions and their discrete approximations
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Optimal scaling of discrete approximations to langevin diffusions
Gareth O Roberts and Jeffrey S Rosenthal · 1998
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Foundations of statistical natural language processing
Christopher D Manning, Christopher D Manning, and Hinrich Schütze · 1999
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin · 2003
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HotFlip: White-box adversarial examples for text classification
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou · 2006
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Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts · 2011
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2013
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A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan · 2015
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Anh Nguyen, Jason Yosinski, and Jeff Clune · 2015
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Learning to translate in real-time with neural machine translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho, and Victor OK Li · 2016
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2016
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Controlling output length in neural encoder-decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, and Manabu Okumura · 2016
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Mike Noseworthy, Laurent Charlin, and Joelle Pineau · 2016
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Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, and Tomas Kocisky · 2016
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg · 2017
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Hafez: an interactive poetry generation system
Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, and Kevin Knight · 2017
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Crowdsourcing a large corpus of clickbait on twitter
Martin Potthast, Tim Gollub, Kristof Komlossy, Sebastian Schuster, Matti Wiegmann, Erika Patricia Garces Fernandez, Matthias Hagen, and Benno Stein · 2018
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Simple fusion: Return of the language model
Felix Stahlberg, James Cross, and Veselin Stoyanov · 2018
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Improv encyclopedia story spine
Kenn Adams · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi · 2019
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Jiatao Gu, Kyunghyun Cho, and Victor OK Li · 2017
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Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P. Xing · 2017
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Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, and Jason Yosinski · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi S. Jaakkola · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2017
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Generating more interesting responses in neural conversation models with distributional constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li, and Bill Dolan · 2018
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Jigsaw · 2019
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CTRL - A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav Varshney, Caiming Xiong, and Richard Socher · 2019
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Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau · 2019
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Learning to control the fine-grained sentiment for story ending generation
Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, and Xu Sun · 2019
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Facebook fair’s wmt19 news translation task submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov · 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
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What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston · 2019
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Can unconditional language models recover arbitrary sentences?
Nishant Subramani, Sam Bowman, and Kyunghyun Cho · 2019
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Universal adversarial triggers for nlp
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh · 2019
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Transformers: State-of-the-art natural language processing, 2019
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan · 2019
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Simple and effective noisy channel modeling for neural machine translation
Kyra Yee, Nathan Ng, Yann N Dauphin, and Michael Auli · 2019
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Putting machine translation in context with the noisy channel model
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, and Chris Dyer · 2019
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