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A Theory of Human-Like Few-Shot Learning


Jan 03, 2023
Zhiying Jiang, Rui Wang, Dongbo Bu, Ming Li

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Less is More: Parameter-Free Text Classification with Gzip


Dec 19, 2022
Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Jimmy Lin

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What the DAAM: Interpreting Stable Diffusion Using Cross Attention


Oct 11, 2022
Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture

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* 5 pages, 5 figures 

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Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers


Jul 31, 2022
Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin

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Few-Shot Non-Parametric Learning with Deep Latent Variable Model


Jun 23, 2022
Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin

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Investigating the Limitations of Transformers with Simple Arithmetic Tasks


Mar 02, 2021
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

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Investigating the Limitations of the Transformers with Simple Arithmetic Tasks


Feb 25, 2021
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

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Inserting Information Bottlenecks for Attribution in Transformers


Dec 27, 2020
Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin

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* Accepted by EMNLP2020 Findings 

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Document Ranking with a Pretrained Sequence-to-Sequence Model


Mar 14, 2020
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

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PaperRobot: Incremental Draft Generation of Scientific Ideas


May 31, 2019
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan

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* 12 pages. Accepted by ACL 2019 Code and resource is available at https://github.com/EagleW/PaperRobot 

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