Improved Techniques for Training GANs. - Tim Salimans; Ian J. Goodfellow; Wojciech Zaremba; Vicki Cheung; Alec Radford; Xi Chen 022 (NIPS, 2016)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. - Alec Radford; Luke Metz; Soumith Chintala (ICLR (Poster), 2016)

Learning to Generate Reviews and Discovering Sentiment. - Alec Radford; Rafal Józefowicz; Ilya Sutskever (CoRR, 2017)

Proximal Policy Optimization Algorithms. - John Schulman; Filip Wolski; Prafulla Dhariwal; Alec Radford; Oleg Klimov (CoRR, 2017)

Improving GANs Using Optimal Transport. - Tim Salimans; Han Zhang 010; Alec Radford; Dimitris N. Metaxas (ICLR (Poster), 2018)

Generating Long Sequences with Sparse Transformers. - Rewon Child; Scott Gray; Alec Radford; Ilya Sutskever (CoRR, 2019)

Release Strategies and the Social Impacts of Language Models. - Irene Solaiman; Miles Brundage; Jack Clark; Amanda Askell; Ariel Herbert-Voss; Jeff Wu 003; Alec Radford; Jasmine Wang (CoRR, 2019)

Fine-Tuning Language Models from Human Preferences. - Daniel M. Ziegler; Nisan Stiennon; Jeffrey Wu 003; Tom B. Brown; Alec Radford; Dario Amodei; Paul F. Christiano; Geoffrey Irving (CoRR, 2019)

Generative Pretraining From Pixels. - Mark Chen 003; Alec Radford; Rewon Child; Jeffrey Wu 003; Heewoo Jun; David Luan; Ilya Sutskever (ICML, 2020)

Distribution Augmentation for Generative Modeling. - Heewoo Jun; Rewon Child; Mark Chen 003; John Schulman; Aditya Ramesh; Alec Radford; Ilya Sutskever (ICML, 2020)

Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

Learning to summarize with human feedback. - Nisan Stiennon; Long Ouyang; Jeffrey Wu 003; Daniel M. Ziegler; Ryan Lowe; Chelsea Voss; Alec Radford; Dario Amodei; Paul F. Christiano (NeurIPS, 2020)

Scaling Laws for Neural Language Models. - Jared Kaplan; Sam McCandlish; Tom Henighan; Tom B. Brown; Benjamin Chess; Rewon Child; Scott Gray; Alec Radford; Jeffrey Wu 003; Dario Amodei (CoRR, 2020)

Jukebox: A Generative Model for Music. - Prafulla Dhariwal; Heewoo Jun; Christine Payne; Jong Wook Kim; Alec Radford; Ilya Sutskever (CoRR, 2020)

Learning to summarize from human feedback. - Nisan Stiennon; Long Ouyang; Jeff Wu 003; Daniel M. Ziegler; Ryan Lowe; Chelsea Voss; Alec Radford; Dario Amodei; Paul F. Christiano (CoRR, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Learning Transferable Visual Models From Natural Language Supervision. - Alec Radford; Jong Wook Kim; Chris Hallacy; Aditya Ramesh; Gabriel Goh; Sandhini Agarwal; Girish Sastry; Amanda Askell; Pamela Mishkin; Jack Clark; Gretchen Krueger; Ilya Sutskever (ICML, 2021)

Zero-Shot Text-to-Image Generation. - Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen 003; Ilya Sutskever (ICML, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications. - Sandhini Agarwal; Gretchen Krueger; Jack Clark; Alec Radford; Jong Wook Kim; Miles Brundage (CoRR, 2021)

Unsupervised Neural Machine Translation with Generative Language Models Only. - Jesse Michael Han; Igor Babuschkin; Harrison Edwards; Arvind Neelakantan; Tao Xu; Stanislas Polu; Alex Ray; Pranav Shyam; Aditya Ramesh; Alec Radford; Ilya Sutskever (CoRR, 2021)

Text and Code Embeddings by Contrastive Pre-Training. - Arvind Neelakantan; Tao Xu; Raul Puri; Alec Radford; Jesse Michael Han; Jerry Tworek; Qiming Yuan; Nikolas Tezak; Jong Wook Kim; Chris Hallacy; Johannes Heidecke; Pranav Shyam; et al. (CoRR, 2022)

Robust Speech Recognition via Large-Scale Weak Supervision. - Alec Radford; Jong Wook Kim; Tao Xu; Greg Brockman; Christine McLeavey; Ilya Sutskever (ICML, 2023)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)

Scaling and evaluating sparse autoencoders. - Leo Gao; Tom Dupré la Tour; Henk Tillman; Gabriel Goh; Rajan Troll; Alec Radford; Ilya Sutskever; Jan Leike; Jeffrey Wu 003 (ICLR, 2025)