Seuraa
Jacob Austin
Jacob Austin
Researcher, Google Brain
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
38612023
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
10302023
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
8242023
Program synthesis with large language models
J Austin, A Odena, M Nye, M Bosma, H Michalewski, D Dohan, E Jiang, ...
arXiv preprint arXiv:2108.07732, 2021
7802021
Structured denoising diffusion models in discrete state-spaces
J Austin, DD Johnson, J Ho, D Tarlow, R Van Den Berg
Advances in Neural Information Processing Systems 34, 17981-17993, 2021
5382021
Show your work: Scratchpads for intermediate computation with language models
M Nye, AJ Andreassen, G Gur-Ari, H Michalewski, J Austin, D Bieber, ...
arXiv preprint arXiv:2112.00114, 2021
4302021
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
1422024
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
1262023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
762024
Language model cascades
D Dohan, W Xu, A Lewkowycz, J Austin, D Bieber, RG Lopes, Y Wu, ...
arXiv preprint arXiv:2207.10342, 2022
652022
Titan: A parallel asynchronous library for multi-agent and soft-body robotics using nvidia cuda
J Austin, R Corrales-Fatou, S Wyetzner, H Lipson
2020 IEEE International Conference on Robotics and Automation (ICRA), 7754-7760, 2020
262020
Beyond in-place corruption: Insertion and deletion in denoising probabilistic models
DD Johnson, J Austin, R Berg, D Tarlow
arXiv preprint arXiv:2107.07675, 2021
162021
Measuring the impact of programming language distribution
G Orlanski, K Xiao, X Garcia, J Hui, J Howland, J Malmaud, J Austin, ...
International Conference on Machine Learning, 26619-26645, 2023
122023
Resolving Code Review Comments with Machine Learning
A Frömmgen, J Austin, P Choy, N Ghelani, L Kharatyan, G Surita, ...
Proceedings of the 46th International Conference on Software Engineering …, 2024
12024
Large vacuum flux surfaces generated by tilted planar coils
JL Li, J Austin, KC Hammond, BY Israeli, FA Volpe
Plasma physics and controlled fusion 61 (7), 075005, 2019
12019
Machine-learned models for generating code snippets with predicted placeholders for optimizing software development
DDW Johnson, DS Tarlow, M Tabachnyk, MH Rasi, J Austin, ...
US Patent 11,972,234, 2024
2024
Prompting Machine-Learned Models Using Chains of Thought
JW Wei, D Zhou, DE Schuurmans, QV Le, MP Bosma, EHH Chi, ...
US Patent App. 17/881,746, 2023
2023
Using Chains of Thought to Prompt Machine-Learned Models Pre-Trained on Diversified Objectives
JW Wei, D Zhou, X Wang, DE Schuurmans, QV Le, MP Bosma, EHH Chi, ...
US Patent App. 18/160,776, 2023
2023
Resolving code review comments with ML
https://ai.googleblog.com/2023/05/resolving-code-review-comments-with-ml.html, 2023
2023
ML-Enhanced Code Completion Improves Developer Productivity
https://ai.googleblog.com/2022/07/ml-enhanced-code-completion-improves.html, 2022
2022
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Artikkelit 1–20