Jason Wei14 papers on this site (2019–2024)Measuring short-form factuality in large language modelsJason Wei, Nguyen Karina, Hyung Won Chung, et al.2024Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022Language Models are Multilingual Chain-of-Thought ReasonersFreda Shi, Mirac Suzgun, Markus Freitag, et al.2022Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022A Recipe For Arbitrary Text Style Transfer with Large Language ModelsEmily Reif, Daphne Ippolito, Ann Yuan, et al.2021A Survey of Data Augmentation Approaches for NLPSteven Y. Feng, Varun Gangal, Jason Wei, et al.2021EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksJason Wei, Kai Zou2019