Lu, Yifeng

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Li, Y., Yu, A. W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q. V., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 563

Larger language models do in-context learning differently

Wei, J., Wei, J., Tay, Y., Tran, D., Webson, A., Lu, Y., Chen, X., Liu, H., Huang, D., Zhou, D., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 109

Long-form factuality in large language models

Wei, J., Yang, C., Song, X., Lu, Y., Hu, N., Huang, J., Tran, D., Peng, D., Liu, R., Huang, D., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 36

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

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