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The emergence of ChatGPT has once again sparked research in generative artificial intelligence (GAI).
Language models are few-shot learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 1901
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What is a syllogism?
Smiley, T. J. 1973 · 1973
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Predictive coding
Huang, Y.; and Rao, R. P. 2011 · 2011
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Auto-Encoding Variational Bayes
Kingma, D. P.; and Welling, M. 2013 · 2013
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Statistical parametric speech synthesis using deep neural networks
Ze, H.; Senior, A.; and Schuster, M. 2013 · 2013
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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On the training aspects of deep neural network (DNN) for parametric TTS synthesis
Qian, Y.; Fan, Y.; Hu, W.; and Soong, F. K. 2014 · 2014
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Vqa: Visual question answering
Antol, S.; Agrawal, A.; Lu, J.; Mitchell, M.; Batra, D.; Zitnick, C. L.; and Parikh, D. 2015 · 2015
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Show and tell: A neural image caption generator
Vinyals, O.; Toshev, A.; Bengio, S.; and Erhan, D. 2015 · 2015
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Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis
Zen, H.; and Sak, H. 2015 · 2015
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Pixel recurrent neural networks
Van Den Oord, A.; Kalchbrenner, N.; and Kavukcuoglu, K. 2016 · 2016
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With or without you: predictive coding and Bayesian inference in the brain
Aitchison, L.; and Lengyel, M. 2017 · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
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Representation learning with contrastive predictive coding
Oord, A. v. d.; Li, Y.; and Vinyals, O. 2018 · 2018
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The book of why: the new science of cause and effect
Pearl, J.; and Mackenzie, D. 2018 · 2018
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Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.; et al. 2018 · 2018
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Learning causality and causality-related learning: some recent progress
Zhang, K.; Schölkopf, B.; Spirtes, P.; and Glymour, C. 2018 · 2018
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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 · 2019
Cited alongside, same era.
Generative adversarial networks
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2020 · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 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.; and Liu, P. J. 2020 · 2020
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
Cited alongside, same era.
Fengshenbang-LM
IDEA-CCNL. 2021 · 2021
Cited alongside, same era.
Large language models are zero-shot reasoners
Kojima, T.; Gu, S. S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y. 2022 · 2022
Later among the works it cites.
Towards implicit text-guided 3d shape generation
Liu, Z.; Wang, Y.; Qi, X.; and Fu, C.-W. 2022 · 2022
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Storydall-e: Adapting pretrained text-to-image transformers for story continuation
Maharana, A.; Hannan, D.; and Bansal, M. 2022 · 2022
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Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Pan, X.; Qin, P.; Li, Y.; Xue, H.; and Chen, W. 2022 · 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 · 2022
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Semantics-Guided Latent Space Exploration for Shape Generation
Jahan, T.; Guan, Y.; and Van Kaick, O. 2021 · 2021
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Mildenhall, B.; Srinivasan, P. P.; Tancik, M.; Barron, J. T.; Ramamoorthi, R.; and Ng, R. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
Cited alongside, same era.
Zero-shot text-to-image generation
Ramesh, A.; Pavlov, M.; Goh, G.; Gray, S.; Voss, C.; Radford, A.; Chen, M.; and Sutskever, I. 2021 · 2021
Cited alongside, same era.
Frechet Inception Distance (FID) for Evaluating GANs
Yu, Y.; Zhang, W.; and Deng, Y. 2021 · 2021
Cited alongside, same era.
ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Balaji, Y.; Nah, S.; Huang, X.; Vahdat, A.; Song, J.; Kreis, K.; Aittala, M.; Aila, T.; Laine, S.; Catanzaro, B.; et al. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 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. L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.; Salimans, T.; et al. 2022 · 2022
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Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence
Wang, J.; Zhang, Y.; Zhang, L.; Yang, P.; Gao, X.; Wu, Z.; Dong, X.; He, J.; Zhuo, J.; Yang, Q.; Huang, Y.; Li, X.; Wu, Y.; Lu, J.; Zhu, X.; Chen, W.; Han, T.; Pan, K.; Wang, R.; Wang, H.; Wu, X.; Zeng, Z.; Chen, C.; Gan, R.; and Zhang, J. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Chi, E.; Le, Q.; and Zhou, D. 2022 · 2022
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Scaling autoregressive models for content-rich text-to-image generation
Yu, J.; Xu, Y.; Koh, J. Y.; Luong, T.; Baid, G.; Wang, Z.; Vasudevan, V.; Ku, A.; Yang, Y.; Ayan, B. K.; et al. 2022 · 2022
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Automatic chain of thought prompting in large language models
Zhang, Z.; Zhang, A.; Li, M.; and Smola, A. 2022 · 2022
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Bang, Y.; Cahyawijaya, S.; Lee, N.; Dai, W.; Su, D.; Wilie, B.; Lovenia, H.; Ji, Z.; Yu, T.; Chung, W.; et al. 2023 · 2023
Closest in time.
Cao, Y.; Li, S.; Liu, Y.; Yan, Z.; Dai, Y.; Yu, P. S.; and Sun, L. 2023 · 2023
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Li, J.; Li, D.; Savarese, S.; and Hoi, S. 2023 · 2023
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GPT-4 Technical Report
OpenAI. 2023 · 2023
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Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Shum, K.; Diao, S.; and Zhang, T. 2023 · 2023
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Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Wang, L.; Xu, W.; Lan, Y.; Hu, Z.; Lan, Y.; Lee, R. K.-W.; and Lim, E.-P. 2023 · 2023
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