Zhou, Denny

Simple synthetic data reduces sycophancy in large language models

Wei, J., Huang, D., Lu, Y., Zhou, D., & Le, Q. V. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 28

Large language models as tool makers

Cai, T., Wang, X., Ma, T., Chen, X., & Zhou, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

Mind's Eye: Grounded Language Model Reasoning through Simulation

Liu, R., Wei, J., Gu, S. S., Wu, T.-Y., Vosoughi, S., Cui, C., Zhou, D., & Dai, A. M. (2022) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 24

Best Practices and Lessons Learned on Synthetic Data

Liu, R., Wei, J., Liu, F., Si, C., Zhang, Y., Rao, J., Zheng, S., Peng, D., Yang, D., Zhou, D., et al. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 21

Training Socially Aligned Language Models on Simulated Social Interactions

Liu, R., Yang, R., Jia, C., Zhang, G., Zhou, D., Dai, A. M., Yang, D., & Vosoughi, S. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 18

Universal Self-Consistency for Large Language Model Generation

Chen, X., Aksitov, R., Alon, U., Ren, J., Xiao, K., Yin, P., Prakash, S., Sutton, C., Wang, X., & Zhou, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

Premise Order Matters in Reasoning with Large Language Models

Chen, X., Chi, R. A., Wang, X., & Zhou, D. (2024) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 3

Symbol tuning improves in-context learning in language models

Wei, J., Hou, L., Lampinen, A., Chen, X., Huang, D., Tay, Y., Chen, X., Lu, Y., Zhou, D., Ma, T., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1