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The goal of text generation models is to fit the underlying real probability distribution of text.
Evaluation metrics for language models
Chen, S. F., Beeferman, D., and Rosenfeld, R · 1998
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Bleu: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., and Zhu, W.-J · 2002
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Looking for a few good metrics: Rouge and its evaluation
Lin, C.-Y. and Och, F · 2004
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Recurrent neural network based language model
Mikolov, T., Karafiát, M., Burget, L., Černockỳ, J., and Khudanpur, S · 2010
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Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K., and Bengio, Y · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Microsoft coco captions: Data collection and evaluation server
Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollár, P., and Zitnick, C. L · 2015
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A diversity-promoting objective function for neural conversation models
Li, J., Galley, M., Brockett, C., Gao, J., and Dolan, B · 2015
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Diverse beam search: Decoding diverse solutions from neural sequence models
Vijayakumar, A. K., Cogswell, M., Selvaraju, R. R., Sun, Q., Lee, S., Crandall, D. J., and Batra, D · 2016
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Improved training of wasserstein gans
Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., and Courville, A. C · 2017
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Long text generation via adversarial training with leaked information
Guo, J., Lu, S., Cai, H., Zhang, W., Yu, Y., and Wang, J · 2017
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Adversarial learning for neural dialogue generation
Li, J., Monroe, W., Shi, T., Jean, S., Ritter, A., and Jurafsky, D · 2017
Cited alongside, same era.
Adversarial ranking for language generation
Lin, K., Li, D., He, X., Zhang, Z., and Sun, M.-T · 2017
Cited alongside, same era.
Self-critical sequence training for image captioning
Rennie, S. J., Marcheret, E., Mroueh, Y., Ross, J., and Goel, V · 2017
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
Yu, L., Zhang, W., Wang, J., and Yu, Y · 2017
Cited alongside, same era.
Towards text generation with adversarially learned neural outlines
Subramanian, S., Mudumba, S. R., Sordoni, A., Trischler, A., Courville, A. C., and Pal, C · 2018
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Tailored sequence to sequence models to different conversation scenarios
Zhang, H., Lan, Y., Guo, J., Xu, J., and Cheng, X · 2018
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Texygen: A benchmarking platform for text generation models
Zhu, Y., Lu, S., Zheng, L., Guo, J., Zhang, W., Wang, J., and Yu, Y · 2018
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Jointly measuring diversity and quality in text generation models
Alihosseini, D., Montahaei, E., and Baghshah, M. S · 2019
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Training language gans from scratch
d’Autume, C. d. M., Rosca, M., Rae, J., and Mohamed, S · 2019
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Caccia, M., Caccia, L., Fedus, W., Larochelle, H., Pineau, J., and Charlin, L · 2018
Cited alongside, same era.
Adversarial text generation via feature-mover’s distance
Chen, L., Dai, S., Tao, C., Zhang, H., Gan, Z., Shen, D., Zhang, Y., Wang, G., Zhang, R., and Carin, L · 2018
Cited alongside, same era.
Maskgan: Better text generation via filling in the _
Fedus, W., Goodfellow, I., and Dai, A. M · 2018
Cited alongside, same era.
Relgan: Relational generative adversarial networks for text generation
Nie, W., Narodytska, N., and Patel, A · 2018
Cited alongside, same era.
On accurate evaluation of gans for language generation
Semeniuta, S., Severyn, A., and Gelly, S · 2018
Cited alongside, same era.
Cot: Cooperative training for generative modeling of discrete data
Lu, S., Yu, L., Zhang, W., and Yu, Y
Cited in the paper.
Neural text generation: Past, present and beyond
Lu, S., Zhu, Y., Zhang, W., Wang, J., and Yu, Y
Cited in the paper.
Gao, X., Lee, S., Zhang, Y., Brockett, C., Galley, M., Gao, J., and Dolan, B · 2019
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Unifying human and statistical evaluation for natural language generation
Hashimoto, T. B., Zhang, H., and Liang, P · 2019
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Comparison of diverse decoding methods from conditional language models
Ippolito, D., Kriz, R., Sedoc, J., Kustikova, M., and Callisonburch, C · 2019
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Differentiated distribution recovery for neural text generation
Li, J., Lan, Y., Guo, J., Xu, J., and Cheng, X · 2019
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Mixture models for diverse machine translation: Tricks of the trade
Shen, T., Ott, M., Auli, M., and Ranzato, M · 2019
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