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Diffusion models have become a new generative paradigm for text generation.
Bleu: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., and Zhu, W.-J · 2002
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y · 2004
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On the properties of neural machine translation: Encoder-decoder approaches
Cho, K., van Merrienboer, B., Bahdanau, D., and Bengio, Y · 2014
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Generative adversarial nets
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. C., and Bengio, Y · 2014
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2014
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., and Brox, T · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., and Ganguli, S · 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 · 2016
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Quasar: Datasets for question answering by search and reading
Dhingra, B., Mazaitis, K., and Cohen, W. W · 2017
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Density estimation using real NVP
Dinh, L., Sohl-Dickstein, J., and Bengio, S · 2017
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Question generation for question answering
Duan, N., Tang, D., Chen, P., and Zhou, M · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017
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Rao, S. and Tetreault, J · 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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Fast, diverse and accurate image captioning guided by part-of-speech
Deshpande, A., Aneja, J., Wang, L., Schwing, A. G., and Forsyth, D · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M., Lee, K., and Toutanova, K · 2019
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Levenshtein transformer
Gu, J., Wang, C., and Zhao, J · 2019
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Language models are unsupervised multitask learners
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al · 2019
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Generative modeling by estimating gradients of the data distribution
Song, Y. and Ermon, S · 2019
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Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
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Challenges in building intelligent open-domain dialog systems
Huang, M., Zhu, X., and Gao, J · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., Liu, P. J., et al · 2020
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Score-based generative modeling through stochastic differential equations
Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2020
Cited alongside, same era.
Bertscore: Evaluating text generation with BERT
A review of text style transfer using deep learning
Toshevska, M. and Gievska, S · 2021
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Diverse text generation via variational encoder-decoder models with gaussian process priors
Du, W., Zhao, J., Wang, L., and Ji, Y · 2022
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Stylegan-nada: Clip-guided domain adaptation of image generators
Gal, R., Patashnik, O., Maron, H., Bermano, A. H., Chechik, G., and Cohen-Or, D · 2022
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Difformer: Empowering diffusion model on embedding space for text generation
Gao, Z., Guo, J., Tan, X., Zhu, Y., Zhang, F., Bian, J., and Xu, L · 2022
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Diffuseq: Sequence to sequence text generation with diffusion models
Gong, S., Li, M., Feng, J., Wu, Z., and Kong, L · 2022
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Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., and Artzi, Y · 2020
Cited alongside, same era.
Structured denoising diffusion models in discrete state-spaces
Austin, J., Johnson, D. D., Ho, J., Tarlow, D., and van den Berg, R · 2021
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Dhariwal, P. and Nichol, A · 2021
Cited alongside, same era.
Generating images from caption and vice versa via clip-guided generative latent space search
Galatolo, F. A., Cimino, M. G., and Vaglini, G · 2021
Cited alongside, same era.
Scaling up visual and vision-language representation learning with noisy text supervision
Jia, C., Yang, Y., Xia, Y., Chen, Y.-T., Parekh, Z., Pham, H., Le, Q., Sung, Y.-H., Li, Z., and Duerig, T · 2021
Cited alongside, same era.
Diffusionclip: Text-guided image manipulation using diffusion models
Kim, G. and Ye, J. C · 2021
Cited alongside, same era.
Diffwave: A versatile diffusion model for audio synthesis
Kong, Z., Ping, W., Huang, J., Zhao, K., and Catanzaro, B · 2021
Cited alongside, same era.
Later among the works it cites.
Diffusionbert: Improving generative masked language models with diffusion models
He, Z., Sun, T., Wang, K., Huang, X., and Qiu, X · 2022
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Classifier-free diffusion guidance
Ho, J. and Salimans, T · 2022
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Diffusion-lm improves controllable text generation
Li, X. L., Thickstun, J., Gulrajani, I., Liang, P., and Hashimoto, T. B · 2022
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Genie: Large scale pre-training for text generation with diffusion model
Lin, Z., Gong, Y., Shen, Y., Wu, T., Fan, Z., Lin, C., Chen, W., and Duan, N · 2022
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Composable text controls in latent space with odes
Liu, G., Feng, Z., Gao, Y., Yang, Z., Liang, X., Bao, J., He, X., Cui, S., Li, Z., and Hu, Z · 2022
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Latent diffusion for language generation
Lovelace, J., Kishore, V., Wan, C., Shekhtman, E., and Weinberger, K · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., and Chen, M · 2022
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Diffuser: Discrete diffusion via edit-based reconstruction
Reid, M., Hellendoorn, V. J., and Neubig, G · 2022
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Language modelling with pixels
Rust, P., Lotz, J. F., Bugliarello, E., Salesky, E., de Lhoneux, M., and Elliott, D · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S. K. S., Ayan, B. K., Mahdavi, S. S., Lopes, R. G., et al · 2022
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Self-conditioned embedding diffusion for text generation
Strudel, R., Tallec, C., Altché, F., Du, Y., Ganin, Y., Mensch, A., Grathwohl, W., Savinov, N., Dieleman, S., Sifre, L., et al · 2022
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Seqdiffuseq: Text diffusion with encoder-decoder transformers
Yuan, H., Yuan, Z., Tan, C., Huang, F., and Huang, S · 2022
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