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Ruiqi Zhong

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Describing Differences in Image Sets with Natural Language

Dec 05, 2023
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy

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Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

Jul 17, 2023
Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen McKeown

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Goal-Driven Explainable Clustering via Language Descriptions

May 23, 2023
Zihan Wang, Jingbo Shang, Ruiqi Zhong

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Goal Driven Discovery of Distributional Differences via Language Descriptions

Feb 28, 2023
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, Jacob Steinhardt

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DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Nov 18, 2022
Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida Wang, Tao Yu

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Learning by Distilling Context

Sep 30, 2022
Charlie Snell, Dan Klein, Ruiqi Zhong

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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

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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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