Jackson Petty 个人学术档案

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	总计	2019 年至今
引用	171	171
h 指数	6	6
i10 指数	6	6

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Samuel R. BowmanNYU and Anthropic在 nyu.edu 的电子邮件经过验证
Robert FrankProfessor of Linguistics, Yale University在 yale.edu 的电子邮件经过验证
Julian MichaelNew York University在 nyu.edu 的电子邮件经过验证
Julien DiraniCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
David ReinResearcher, NYU在 nyu.edu 的电子邮件经过验证
Phu Mon HtutAWS AI Labs在 amazon.com 的电子邮件经过验证
Asa Cooper SticklandPostdoctoral Researcher, New York University在 ed.ac.uk 的电子邮件经过验证
Richard Yuanzhe PangMeta, New York University在 nyu.edu 的电子邮件经过验证
Betty Li HouNew York University在 nyu.edu 的电子邮件经过验证
Michael WilsonAssistant Professor of Instruction, Dept. of Linguistics & Cognitive Science, University of Delaware在 udel.edu 的电子邮件经过验证
Najoung KimBoston University在 bu.edu 的电子邮件经过验证
Tal LinzenNew York University在 nyu.edu 的电子邮件经过验证
Vishakh PadmakumarNew York University在 nyu.edu 的电子邮件经过验证
William MerrillNew York University在 nyu.edu 的电子邮件经过验证
Ashish SabharwalAllen Institute for AI (AI2)在 allenai.org 的电子邮件经过验证
Ishita DasguptaSenior Research Scientist, DeepMind在 google.com 的电子邮件经过验证
Fei ShaGoogle Research在 feisha.org 的电子邮件经过验证
Dan GarretteResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Sjoerd van SteenkisteResearch Scientist at Google Research在 google.com 的电子邮件经过验证
Aaron MuellerPostdoctoral Fellow, Northeastern University and The Technion在 northeastern.edu 的电子邮件经过验证

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Jackson Petty

Ph.D. Student, NYU

在 nyu.edu 的电子邮件经过验证 - 首页

machine learning metric geometry computational linguistics ethical philosophy


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Gpqa: A graduate-level google-proof q&a benchmark D Rein, BL Hou, AC Stickland, J Petty, RY Pang, J Dirani, J Michael, ... arXiv preprint arXiv:2311.12022, 2023	77	2023
(QA)^2: Question Answering with Questionable Assumptions N Kim, PM Htut, S Bowman, J Petty Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023	21*	2023
Debate helps supervise unreliable experts J Michael, S Mahdi, D Rein, J Petty, J Dirani, V Padmakumar, ... arXiv preprint arXiv:2311.08702, 2023	18	2023
Transformers generalize linearly J Petty, R Frank arXiv preprint arXiv:2109.12036, 2021	17	2021
The illusion of state in state-space models W Merrill, J Petty, A Sabharwal arXiv preprint arXiv:2404.08819, 2024	11	2024
How abstract is linguistic generalization in large language models? Experiments with argument structure M Wilson, J Petty, R Frank Transactions of the Association for Computational Linguistics 11, 1377-1395, 2023	11	2023
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax A Mueller, A Webson, J Petty, T Linzen arXiv preprint arXiv:2311.07811, 2023	3	2023
Do language models learn position-role mappings? J Petty, M Wilson, R Frank arXiv preprint arXiv:2202.03611, 2022	3	2022
The Optimal Double Bubble for Density J Hirsch, K Li, J Petty, C Xue Rose-Hulman Undergraduate Mathematics Journal 22 (2), 2021	3	2021
The Impact of Depth on Compositional Generalization in Transformer Language Models J Petty, S Steenkiste, I Dasgupta, F Sha, D Garrette, T Linzen Proceedings of the 2024 Conference of the North American Chapter of the …, 2024	2	2024
The impact of depth and width on transformer language model generalization J Petty, S van Steenkiste, I Dasgupta, F Sha, D Garrette, T Linzen arXiv preprint arXiv:2310.19956, 2023	2	2023
Sequence-to-sequence networks learn the meaning of reflexive anaphora R Frank, J Petty arXiv preprint arXiv:2011.00682, 2020	2	2020
Certain hyperbolic regular polygonal tiles are isoperimetric J Hirsch, K Li, J Petty, C Xue Geometriae Dedicata, 1-13, 2021	1	2021
How Does Code Pretraining Affect Language Model Task Performance? J Petty, S van Steenkiste, T Linzen arXiv preprint arXiv:2409.04556, 2024		2024
The Optimal Double Bubble for Density 𝑟ᵖ J Hirsch, K Li, J Petty, C Xue Rose-Hulman Undergraduate Mathematics Journal 22 (2), 4, 2021		2021
Optimal monohedral tilings of hyperbolic surfaces L Di Giosia, J Habib, J Hirsch, L Kenigsberg, K Li, D Pittman, J Petty, ... arXiv preprint arXiv:1911.04476, 2019		2019
Probing language models’ knowledge of position-role mappings with novel word learning M Wilson, J Petty, R Frank

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