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Active Programming by Example with a Natural Language Prior


May 25, 2022
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner


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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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Summarizing Differences between Text Distributions with Natural Language


Jan 28, 2022
Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt


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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models


Jan 20, 2022
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu


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The Effect of Model Size on Worst-Group Generalization


Dec 08, 2021
Alan Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt

* The first four authors contributed equally to the work 

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Meta-learning via Language Model In-context Tuning


Oct 15, 2021
Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He


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Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level


May 13, 2021
Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt

* ACL 2021 Findings. Code and data: https://github.com/ruiqi-zhong/acl2021-instance-level 

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Meta-tuning Language Models to Answer Prompts Better


Apr 17, 2021
Ruiqi Zhong, Kristy Lee, Zheng Zhang, Dan Klein


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