AR
Alec Radford
cs.LGcs.CLcs.AIcs.CVstat.MLcs.CYcs.SDeess.AScs.NE
On Valency
published · living versionsW_b2ety6g8·v1 · currentpublished
Scaling and evaluating sparse autoencoders
with Leo Gao, Tom Dupré la Tour, Henk Tillman, Gabriel Goh +4
1 version
Preprints & journals
23 papers in the corpus · 2015–2026Learning a Generative Meta-Model of LLM Activations2602.06964v1 · Grace Luo, Jiahai Feng, Trevor Darrell et al.2026 · 0 citationsarXiv
Shaping capabilities with token-level data filtering2601.21571v2 · Neil Rathi, Alec Radford2026 · 0 citationsarXiv
GPT-4o System Card2410.21276v1 · OpenAI: Aaron Hurst, Adam Lerer, Adam P. Goucher et al.2024 · 165 citationsarXiv
Scaling and evaluating sparse autoencoders2406.04093v1 · Leo Gao, Tom Dupr'e la Tour, Henk Tillman et al.2024 · 11 citationsarXivon Valency
Robust Speech Recognition via Large-Scale Weak Supervision2212.04356v1 · Alec Radford, Jong Wook Kim, Tao Xu et al.2022 · 1,188 citationsarXiv
Learning to summarize from human feedback2009.01325v3 · Nisan Stiennon, Long Ouyang, Jeff Wu et al.2020 · 36 citationsarXiv
Text and Code Embeddings by Contrastive Pre-Training2201.10005v1 · Arvind Neelakantan, Tao Xu, Raul Puri et al.2022 · 149 citationsarXiv
Unsupervised Neural Machine Translation with Generative Language Models Only2110.05448v1 · Jesse Michael Han, Igor Babuschkin, Harrison Edwards et al.2021 · 10 citationsarXiv
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications2108.02818v1 · Sandhini Agarwal, Gretchen Krueger, Jack Clark et al.2021 · 36 citationsarXiv
Evaluating Large Language Models Trained on Code2107.03374v2 · Mark Chen, Jerry Tworek, Heewoo Jun et al.2021 · 1,468 citationsarXivon Valency
Zero-Shot Text-to-Image Generation2102.12092v2 · Aditya Ramesh, Mikhail Pavlov, Gabriel Goh et al.2021 · 1,154 citationsarXiv
Learning Transferable Visual Models From Natural Language Supervision2103.00020v1 · Alec Radford, Jong Wook Kim, Chris Hallacy et al.2021 · 5,285 citationsarXiv
Scaling Laws for Autoregressive Generative Modeling2010.14701v2 · Tom Henighan, Jared Kaplan, Mor Katz et al.2020 · 150 citationsarXiv
Language Models are Few-Shot Learners2005.14165v4 · Tom B. Brown, Benjamin Mann, Nick Ryder et al.2020 · 2,966 citationsarXiv
Jukebox: A Generative Model for Music2005.00341v1 · Prafulla Dhariwal, Heewoo Jun, Christine Payne et al.2020 · 102 citationsarXiv
Scaling Laws for Neural Language Models2001.08361v1 · Jared Kaplan, Sam McCandlish, Tom Henighan et al.2020 · 1,513 citationsarXivon Valency
Fine-Tuning Language Models from Human Preferences1909.08593v2 · Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu et al.2019 · 385 citationsarXiv
Release Strategies and the Social Impacts of Language Models1908.09203v2 · Irene Solaiman, Miles Brundage, Jack Clark et al.2019 · 282 citationsarXiv
Generating Long Sequences with Sparse Transformers1904.10509v1 · Rewon Child, Scott Gray, Alec Radford et al.2019 · 463 citationsarXiv
Improving GANs Using Optimal Transport1803.05573v1 · Tim Salimans, Han Zhang, Alec Radford et al.2018 · 45 citationsarXiv
Learning to Generate Reviews and Discovering Sentiment1704.01444v2 · Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 346 citationsarXiv
Improved Techniques for Training GANs1606.03498v1 · Tim Salimans, Ian Goodfellow, Wojciech Zaremba et al.2016 · 1,344 citationsarXiv
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks1511.06434v2 · Alec Radford, Luke Metz, Soumith Chintala2015 · 12,526 citationsarXiv
Career total: 28 works. 23 are in this corpus.
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