Denny Zhou15 papers on this site (2020–2023)Challenging 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.2023Instruction-Following Evaluation for Large Language ModelsJeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023Large Language Models Cannot Self-Correct Reasoning YetJie Huang, Xinyun Chen, Swaroop Mishra, 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.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.2022What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesZhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020