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Benefiting from large-scale datasets and pre-trained models, the field of generative models has recently gained significant momentum.
Bleu: a Method for Automatic Evaluation of Machine Translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
Earlier work this paper cites.
Jukebox: A Generative Model for Music
Dhariwal, P.; Jun, H.; Payne, C.; Kim, J. W.; Radford, A.; and Sutskever, I. 2020 · 2005
Earlier work this paper cites.
Crowdsourcing a Word-Emotion Association Lexicon
Mohammad, S. M.; and Turney, P. D. 2013 · 2013
Earlier work this paper cites.
Generating Music from Literature
Davis, H.; and Mohammad, S. M. 2014 · 2014
Earlier work this paper cites.
Generating music from natural language text
Rangarajan, R. 2015 · 2015
Earlier work this paper cites.
A Diversity-Promoting Objective Function for Neural Conversation Models
Li, J.; Galley, M.; Brockett, C.; Gao, J.; and Dolan, B. 2016 · 2016
Earlier work this paper cites.
Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
Earlier work this paper cites.
Generating Wikipedia by Summarizing Long Sequences
Liu, P. J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; and Shazeer, N. 2018 · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.; et al. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
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.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reimers, N.; and Gurevych, I. 2019 · 2019
Cited alongside, same era.
Language Models are Few-Shot Learners
Brown, T. B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D. M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; and Amodei, D. 2020 · 2020
Cited alongside, same era.
BUTTER: A representation learning framework for bi-directional music-sentence retrieval and generation
Zhang, Y.; Wang, Z.; Wang, D.; and Xia, G. 2020 · 2020
Later among the works it cites.
From artificial neural networks to deep learning for music generation: history, concepts and trends
Briot, J. 2021 · 2021
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Evaluating Large Language Models Trained on Code
Chen, M.; Tworek, J.; Jun, H.; Yuan, Q.; de Oliveira Pinto, H. P.; Kaplan, J.; Edwards, H.; Burda, Y.; Joseph, N.; Brockman, G.; Ray, A.; Puri, R.; Krueger, G.; Petrov, M.; Khlaaf, H.; Sastry, G.; Mishkin, P.; Chan, B.; Gray, S.; Ryder, N.; Pavlov, M.; Power, A.; Kaiser, L.; Bavarian, M.; Winter, C.; Tillet, P.; Such, F. P.; Cummings, D.; Plappert, M.; Chantzis, F.; Barnes, E.; Herbert-Voss, A.; Guss, W. H.; Nichol, A.; Paino, A.; Tezak, N.; Tang, J.; Babuschkin, I.; Balaji, S.; Jain, S.; Saunders, W.; Hesse, C.; Carr, A. N.; Leike, J.; Achiam, J.; Misra, V.; Morikawa, E.; Radford, A.; Knight, M.; Brundage, M.; Murati, M.; Mayer, K.; Welinder, P.; McGrew, B.; Amodei, D.; McCandlish, S.; Sutskever, I.; and Zaremba, W. 2021 · 2021
Later among the works it cites.
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Schuhmann, C.; Vencu, R.; Beaumont, R.; Kaczmarczyk, R.; Mullis, C.; Katta, A.; Coombes, T.; Jitsev, J.; and Komatsuzaki, A. 2021 · 2021
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 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.
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Rothe, S.; Narayan, S.; and Severyn, A. 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Masked Autoencoders Are Scalable Vision Learners
He, K.; Chen, X.; Xie, S.; Li, Y.; Dollár, P.; and Girshick, R. B. 2022 · 2022
Closest in time.
AudioGen: Textually Guided Audio Generation
Kreuk, F.; Synnaeve, G.; Polyak, A.; Singer, U.; Défossez, A.; Copet, J.; Parikh, D.; Taigman, Y.; and Adi, Y. 2022 · 2022
Closest in time.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
Closest in time.