CH
Christopher Hesse
cs.LGcs.AIcs.CLcs.CVstat.MLcs.CYcs.SDeess.AS
On Valency
published · living versionsW_3seyyh2p·v1 · currentpublished
Evaluating Large Language Models Trained on Code
with Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan +53
1 version
Preprints & journals
9 papers in the corpus · 2018–2024OpenAI o1 System Card2412.16720v2 · OpenAI: Aaron Jaech, Adam Kalai, Adam Lerer et al.2024 · 44 citationsarXiv
GPT-4o System Card2410.21276v1 · OpenAI: Aaron Hurst, Adam Lerer, Adam P. Goucher et al.2024 · 165 citationsarXiv
WebGPT: Browser-assisted question-answering with human feedback2112.09332v3 · Reiichiro Nakano, Jacob Hilton, Suchir Balaji et al.2021 · 33 citationsarXiv
Evaluating Large Language Models Trained on Code2107.03374v2 · Mark Chen, Jerry Tworek, Heewoo Jun et al.2021 · 1,468 citationsarXivon Valency
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark2103.15332v1 · Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon et al.2021 · 8 citationsarXiv
Scaling Laws for Autoregressive Generative Modeling2010.14701v2 · Tom Henighan, Jared Kaplan, Mor Katz et al.2020 · 150 citationsarXiv
Leveraging Procedural Generation to Benchmark Reinforcement Learning1912.01588v2 · Karl Cobbe, Christopher Hesse, Jacob Hilton et al.2019 · 204 citationsarXiv
Language Models are Few-Shot Learners2005.14165v4 · Tom B. Brown, Benjamin Mann, Nick Ryder et al.2020 · 2,966 citationsarXiv
Gotta Learn Fast: A New Benchmark for Generalization in RL1804.03720v2 · Alex Nichol, Vicki Pfau, Christopher Hesse et al.2018 · 80 citationsarXiv
Career total: 9 works. 9 are in this corpus.
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