Adams Wei Yu

Adams Wei Yu

Carnegie Mellon University

H-index: 24

North America-United States

About Adams Wei Yu

Adams Wei Yu, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scaling instruction-finetuned language models

Gemini: a family of highly capable multimodal models

Large language models cannot self-correct reasoning yet

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Glam: Efficient scaling of language models with mixture-of-experts

Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection

Finetuned language models are zero-shot learners

Simvlm: Simple visual language model pretraining with weak supervision

Adams Wei Yu Information

University

Position

Research Scientist Google Brain; PhD at

Citations(all)

6433

Citations(since 2020)

6145

Cited By

1204

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

28

i10Index(since 2020)

24

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Adams Wei Yu Skills & Research Interests

Artificial Intelligence

Top articles of Adams Wei Yu

Title

Journal

Author(s)

Publication Date

Scaling instruction-finetuned language models

arXiv preprint arXiv:2210.11416

Hyung Won Chung

Le Hou

Shayne Longpre

Barret Zoph

Yi Tay

...

2022/10/20

Gemini: a family of highly capable multimodal models

arXiv preprint arXiv:2312.11805

Gemini Team

Rohan Anil

Sebastian Borgeaud

Yonghui Wu

Jean-Baptiste Alayrac

...

2023/12/19

Large language models cannot self-correct reasoning yet

arXiv preprint arXiv:2310.01798

Jie Huang

Xinyun Chen

Swaroop Mishra

Huaixiu Steven Zheng

Adams Wei Yu

...

2023/10/3

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Advances in Neural Information Processing Systems

Sang Michael Xie

Hieu Pham

Xuanyi Dong

Nan Du

Hanxiao Liu

...

2024/2/13

Glam: Efficient scaling of language models with mixture-of-experts

Nan Du

Yanping Huang

Andrew M Dai

Simon Tong

Dmitry Lepikhin

...

2022/6/28

Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection

Yingwei Li

Adams Wei Yu

Tianjian Meng

Ben Caine

Jiquan Ngiam

...

2022

Finetuned language models are zero-shot learners

ICLR 2022

Jason Wei

Maarten Bosma

Vincent Y Zhao

Kelvin Guu

Adams Wei Yu

...

2022

Simvlm: Simple visual language model pretraining with weak supervision

Zirui Wang

Jiahui Yu

Adams Wei Yu

Zihang Dai

Yulia Tsvetkov

...

2022

Does GNN Pretraining Help Molecular Representation?

Advances in Neural Information Processing Systems

Ruoxi Sun

Hanjun Dai

Adams Wei Yu

2022/12/6

Combined scaling for zero-shot transfer learning

arXiv preprint arXiv:2111.10050

Hieu Pham

Zihang Dai

Golnaz Ghiasi

Hanxiao Liu

Adams Wei Yu

...

2021/11/19

Towards zero-label language learning

arXiv preprint arXiv:2109.09193

Zirui Wang

Adams Wei Yu

Orhan Firat

Yuan Cao

2021/9/19

AutoHAS: Efficient hyperparameter and architecture search

Xuanyi Dong

Mingxing Tan

Adams Wei Yu

Daiyi Peng

Bogdan Gabrys

...

2021

Compositional generalization via neural-symbolic stack machines

NeurIPS 2020

Xinyun Chen

Chen Liang

Adams Wei Yu

Dawn Song

Denny Zhou

2020

See List of Professors in Adams Wei Yu University(Carnegie Mellon University)