Zhou, Yongchao

10 publications

ICLR 2024 DistillSpec: Improving Speculative Decoding via Knowledge Distillation Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal

ICLR 2024 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

ICLR 2024 On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos Garea, Matthieu Geist, Olivier Bachem

ICLRW 2024 Transformers Can Achieve Length Generalization but Not Robustly Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou

NeurIPSW 2023 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

ICLR 2023 Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

ICMLW 2023 Using Synthetic Data for Data Augmentation to Improve Classification Accuracy Yongchao Zhou, Hshmat Sahak, Jimmy Ba

NeurIPS 2022 Dataset Distillation Using Neural Feature Regression Yongchao Zhou, Ehsan Nezhadarya, Jimmy Ba

NeurIPSW 2022 Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba

NeurIPSW 2022 Steering Large Language Models Using APE Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba