Denny Zhou - researchr alias

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Viewing Publication 1 - 38 from 38

2023

Self-Consistency Improves Chain of Thought Reasoning in Language ModelsXuezhi Wang 0002, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou. iclr 2023: [doi]

What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma 0001, Denny Zhou. iclr 2023: [doi]

PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham 0001, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du 0002, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang 0002, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel. jmlr, 24, 2023. [doi]

Compositional Semantic Parsing with Large Language ModelsAndrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou. iclr 2023: [doi]

Mind's Eye: Grounded Language Model Reasoning through SimulationRuibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai. iclr 2023: [doi]

The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts. icml 2023: 22631-22648 [doi]

Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature IndividualizationZi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang 0005, Tianbao Yang. icml 2023: 28389-28421 [doi]

Language models are multilingual chain-of-thought reasonersFreda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang 0002, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das 0001, Jason Wei. iclr 2023: [doi]

Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou. icml 2023: 31210-31227 [doi]

Recitation-Augmented Language ModelsZhiqing Sun, Xuezhi Wang 0002, Yi Tay, Yiming Yang, Denny Zhou. iclr 2023: [doi]

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, Jason Wei. acl 2023: 13003-13051 [doi]

UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani 0001, Vinh Q. Tran 0002, Xavier Garcia, Jason Wei, Xuezhi Wang 0002, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler. iclr 2023: [doi]

Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran 0002, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc Le, Mostafa Dehghani 0001. emnlp 2023: 1471-1486 [doi]

Symbol tuning improves in-context learning in language modelsJerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma 0001, Quoc V. Le. emnlp 2023: 968-979 [doi]

TEMPERA: Test-Time Prompt Editing via Reinforcement LearningTianjun Zhang, Xuezhi Wang 0002, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez. iclr 2023: [doi]

Least-to-Most Prompting Enables Complex Reasoning in Large Language ModelsDenny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang 0002, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi. iclr 2023: [doi]

2022

Auto-scaling Vision Transformers without TrainingWuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou. iclr 2022: [doi]

A Simple Single-Scale Vision Transformer for Object Detection and Instance SegmentationWuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou. eccv 2022: 711-727 [doi]

Token Dropping for Efficient BERT PretrainingLe Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou. acl 2022: 3774-3784 [doi]

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified BackpropagationZiyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang. nips 2022: [doi]

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object DetectionYingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan. cvpr 2022: 17161-17170 [doi]

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge GraphsHongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans. kdd 2022: 1472-1482 [doi]

Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang 0002, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou. nips 2022: [doi]

Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus. tmlr, 2022, 2022. [doi]

Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm PerformanceZhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang. icml 2022: 25760-25782 [doi]

2021

2020

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading ComprehensionXinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le. iclr 2020: [doi]

Compositional Generalization via Neural-Symbolic Stack MachinesXinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou. nips 2020: [doi]

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement LearningAli Mousavi, Lihong Li 0001, Qiang Liu, Denny Zhou. iclr 2020: [doi]

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesZhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou. acl 2020: 2158-2170 [doi]

Deep State-Space Generative Model For Correlated Time-to-Event PredictionsYuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui. kdd 2020: 1552-1562 [doi]

Good Subnetworks Provably Exist: Pruning via Greedy Forward SelectionMao Ye, ChengYue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu. icml 2020: 10820-10830 [doi]

Go Wide, Then Narrow: Efficient Training of Deep Thin NetworksDenny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans. icml 2020: 11546-11555 [doi]

2019

Neural Logic MachinesHonghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li 0001, Denny Zhou. iclr 2019: [doi]

2015

Double or Nothing: Multiplicative Incentive Mechanisms for CrowdsourcingNihar Bhadresh Shah, Denny Zhou. nips 2015: 1-9 [doi]

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