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Measuring Forgetting of Memorized Training Examples


Jun 30, 2022
Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Chiyuan Zhang

* 19 pages, 7 figures 

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Automated Crossword Solving


May 19, 2022
Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, Dan Klein


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InCoder: A Generative Model for Code Infilling and Synthesis


Apr 17, 2022
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis

* 25 pages, 13 figures. v2: added NeoX-20B results & StackOverflow corpus info 

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Deduplicating Training Data Mitigates Privacy Risks in Language Models


Feb 16, 2022
Nikhil Kandpal, Eric Wallace, Colin Raffel


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Analyzing Dynamic Adversarial Training Data in the Limit


Oct 16, 2021
Eric Wallace, Adina Williams, Robin Jia, Douwe Kiela


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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models


Jul 01, 2021
Robert L. Logan IV, Ivana Balažević, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel


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Detoxifying Language Models Risks Marginalizing Minority Voices


Apr 13, 2021
Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, Dan Klein

* NAACL 2021 

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Calibrate Before Use: Improving Few-Shot Performance of Language Models


Feb 19, 2021
Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh


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