Denny Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
9
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. | Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong |
| 2024 | ICLR | Chain of Thought Empowers Transformers to Solve Inherently Serial Problems. | Zhiyuan Liu, Hong Liu, Denny Zhou, Tengyu Ma |
| 2024 | ICLR | Large Language Models Cannot Self-Correct Reasoning Yet. | Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou |
| 2024 | ICLR | Large Language Models as Tool Makers. | Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou |
| 2024 | ICLR | Teaching Large Language Models to Self-Debug. | Xinyun Chen, Maxwell Lin, Nathanael Schrli, Denny Zhou |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou |
| 2024 | ICLR | Large Language Models as Optimizers. | Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen |
| 2024 | ICLR | Large Language Models as Analogical Reasoners. | Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou |
| 2024 | ICLR | Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. | Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou |
| 2024 | ICML | Premise Order Matters in Reasoning with Large Language Models. | Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou |
| 2024 | NAACL | A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. | Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, Daphne Ippolito |
| 2023 | ACL | Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. | Mirac Suzgun, Nathan Scales, Nathanael Schrli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei |
| 2023 | EMNLP | Transcending Scaling Laws with 0.1% Extra Compute. | Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani |
| 2023 | EMNLP | Symbol tuning improves in-context learning in language models. | Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le |
| 2023 | ICLR | Self-Consistency Improves Chain of Thought Reasoning in Language Models. | Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou |
| 2023 | ICLR | What learning algorithm is in-context learning? Investigations with linear models. | Ekin Akyrek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou |
| 2023 | ICLR | Compositional Semantic Parsing with Large Language Models. | Andrew Drozdov, Nathanael Schrli, Ekin Akyrek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou |
| 2023 | ICLR | Mind's Eye: Grounded Language Model Reasoning through Simulation. | Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai |
| 2023 | ICLR | Language models are multilingual chain-of-thought reasoners. | Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei |
| 2023 | ICLR | Recitation-Augmented Language Models. | Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou |
| 2023 | ICLR | UL2: Unifying Language Learning Paradigms. | Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler |
| 2023 | ICLR | TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. | Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez |
| 2023 | ICLR | Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. | Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi |
| 2023 | ICML | The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. | Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts |
| 2023 | ICML | Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization. | Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang |
| 2023 | ICML | Large Language Models Can Be Easily Distracted by Irrelevant Context. | Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schrli, Denny Zhou |
| 2022 | ACL | Token Dropping for Efficient BERT Pretraining. | Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou |
| 2022 | CVPR | DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. | Yingwei 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 |
| 2022 | ECCV | A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. | Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | ICLR | Auto-scaling Vision Transformers without Training. | Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | ICML | Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. | Zhuoning Yuan, Yuexin Wu, Zi-Hao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang |
| 2022 | KDD | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans |
| 2021 | EACL | Extremely Small BERT Models from Mixed-Vocabulary Training. | Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou |
| 2021 | EMNLP | Fast WordPiece Tokenization. | Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou |
| 2021 | ICML | SpreadsheetCoder: Formula Prediction from Semi-structured Context. | Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou |
| 2021 | ICML | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou |
| 2020 | ACL | MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. | Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou |
| 2020 | ICLR | Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. | Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le |
| 2020 | ICLR | Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. | Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou |
| 2020 | ICML | Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. | Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu |
| 2020 | ICML | Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. | Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans |
| 2020 | KDD | Deep State-Space Generative Model For Correlated Time-to-Event Predictions. | Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui |
| 2019 | ICLR | Neural Logic Machines. | Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou |