DD
David Dohan
cs.LGcs.AIcs.CLstat.MLcs.NEq-bio.BMcs.CVcs.PL
On Valency
published · living versionsW_qszyds88·v1 · currentpublished
Competitive Programming with Large Reasoning Models
with OpenAI, :, Ahmed El-Kishky, Alexander Wei +21
1 version
Preprints & journals
13 papers in the corpus · 2016–2025OpenAI o1 System Card2412.16720v2 · OpenAI: Aaron Jaech, Adam Kalai, Adam Lerer et al.2024 · 44 citationsarXiv
Competitive Programming with Large Reasoning Models2502.06807v2 · OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva et al.2025 · 6 citationsarXivon Valency
Training Chain-of-Thought via Latent-Variable Inference2312.02179v1 · Du Phan, Matthew D. Hoffman, David Dohan et al.2023 · 3 citationsarXiv
EvoPrompting: Language Models for Code-Level Neural Architecture Search2302.14838v3 · Angelica Chen, David M. Dohan, David R. So2023 · 35 citationsarXiv
Rethinking Attention with Performers2009.14794v4 · Krzysztof Choromanski, Valerii Likhosherstov, David Dohan et al.2020 · 116 citationsarXiv
Towards Learning Universal Hyperparameter Optimizers with Transformers2205.13320v2 · Yutian Chen, Xingyou Song, Chansoo Lee et al.2022 · 23 citationsarXiv
Solving Quantitative Reasoning Problems with Language Models2206.14858v2 · Aitor Lewkowycz, Anders Andreassen, David Dohan et al.2022 · 339 citationsarXiv
Program Synthesis with Large Language Models2108.07732v1 · Jacob Austin, Augustus Odena, Maxwell Nye et al.2021 · 28 citationsarXiv
Latent Programmer: Discrete Latent Codes for Program Synthesis2012.00377v2 · Joey Hong, David Dohan, Rishabh Singh et al.2020 · 7 citationsarXiv
Is Transfer Learning Necessary for Protein Landscape Prediction?2011.03443v1 · Amir Shanehsazzadeh, David Belanger, David Dohan2020 · 33 citationsarXiv
Fixed-Length Protein Embeddings using Contextual Lenses2010.15065v1 · Amir Shanehsazzadeh, David Belanger, David Dohan2020 · 0 citationsarXiv
Population-Based Black-Box Optimization for Biological Sequence Design2006.03227v2 · Christof Angermueller, David Belanger, Andreea Gane et al.2020 · 15 citationsProceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks1612.05424v2 · Konstantinos Bousmalis, Nathan Silberman, David Dohan et al.2016 · 1,706 citationsarXiv
Career total: 24 works. 13 are in this corpus.
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