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Careful Data Curation Stabilizes In-context Learning


Dec 20, 2022
Ting-Yun Chang, Robin Jia

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CoNAL: Anticipating Outliers with Large Language Models


Nov 28, 2022
Albert Xu, Xiang Ren, Robin Jia

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Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems


Oct 26, 2022
Wang Zhu, Jesse Thomason, Robin Jia

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* Accepted by the Findings of EMNLP 2022 

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Benchmarking Long-tail Generalization with Likelihood Splits


Oct 13, 2022
Ameya Godbole, Robin Jia

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Are Sample-Efficient NLP Models More Robust?


Oct 12, 2022
Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia

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* 25 pages, 21 figures 

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On Continual Model Refinement in Out-of-Distribution Data Streams


May 04, 2022
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih

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* Accepted to ACL 2022; Project website: https://cmr-nlp.github.io/ 

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Knowledge Base Question Answering by Case-based Reasoning over Subgraphs


Feb 22, 2022
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum

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Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants


Dec 16, 2021
Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela

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On the Robustness of Reading Comprehension Models to Entity Renaming


Oct 16, 2021
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren

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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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