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Yifeng Lu
Yifeng Lu
Google DeepMind
Dirección de correo verificada de google.com
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22172023
Towards a human-like open-domain chatbot
D Adiwardana, MT Luong, DR So, J Hall, N Fiedel, R Thoppilan, Z Yang, ...
arXiv preprint arXiv:2001.09977, 2020
11322020
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
3972022
Symbolic discovery of optimization algorithms
X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ...
Advances in neural information processing systems 36, 2024
3862024
Larger language models do in-context learning differently
J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ...
arXiv preprint arXiv:2303.03846, 2023
2742023
Transfer learning with neural automl
C Wong, N Houlsby, Y Lu, A Gesmundo
Advances in neural information processing systems 31, 2018
1342018
Doremi: Optimizing data mixtures speeds up language model pretraining
SM Xie, H Pham, X Dong, N Du, H Liu, Y Lu, PS Liang, QV Le, T Ma, ...
Advances in Neural Information Processing Systems 36, 2024
1112024
Simple synthetic data reduces sycophancy in large language models
J Wei, D Huang, Y Lu, D Zhou, QV Le
arXiv preprint arXiv:2308.03958, 2023
742023
Symbol tuning improves in-context learning in language models
J Wei, L Hou, A Lampinen, X Chen, D Huang, Y Tay, X Chen, Y Lu, ...
arXiv preprint arXiv:2305.08298, 2023
602023
Template-based structured document classification and extraction
Y Sheng, Y Lu, J Xie, J Yang, LG Pueyo, J Lou, J Wendt
US Patent 10,657,158, 2020
602020
PyGlove: Symbolic programming for automated machine learning
D Peng, X Dong, E Real, M Tan, Y Lu, G Bender, H Liu, A Kraft, C Liang, ...
Advances in Neural Information Processing Systems 33, 96-108, 2020
352020
Detecting LSB matching by characterizing the amplitude of histogram
Y Gao, X Li, B Yang, Y Lu
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
332009
Brainformers: Trading simplicity for efficiency
Y Zhou, N Du, Y Huang, D Peng, C Lan, D Huang, S Shakeri, D So, ...
International Conference on Machine Learning, 42531-42542, 2023
212023
Long-form factuality in large language models
J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang, ...
arXiv preprint arXiv:2403.18802, 2024
142024
Large language models as optimizers. 2023
C Yang, X Wang, Y Lu, H Liu, QV Le, D Zhou, X Chen
Accessed on 1, 2023
132023
Evolved optimizer for vision
X Chen, C Liang, D Huang, E Real, Y Liu, K Wang, CJ Hsieh, Y Lu, QV Le
First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022
132022
A secure steganography: noisy region embedding
Y Lu, X Li, B Yang
2009 Fifth International Conference on Intelligent Information Hiding and …, 2009
122009
TabNAS: Rejection sampling for neural architecture search on tabular datasets
C Yang, G Bender, H Liu, PJ Kindermans, M Udell, Y Lu, QV Le, D Huang
Advances in Neural Information Processing Systems 35, 11906-11917, 2022
92022
Towards a human-like open-domain chatbot
A Kulshreshtha, DDF Adiwardana, DR So, G Nemade, J Hall, N Fiedel, ...
arXiv preprint arXiv:2001.09977, 2020
92020
An end-to-end automl solution for tabular data at kaggledays
Y Lu
Google AI Blog, 2019
92019
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