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

Does GNN Pretraining Help Molecular Representation?

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

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

Google Scholar

Adams Wei Yu Skills & Research Interests

Artificial Intelligence

Top articles of Adams Wei Yu

Large language models cannot self-correct reasoning yet

arXiv preprint arXiv:2310.01798

2023/10/3

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Advances in Neural Information Processing Systems

2024/2/13

Does GNN Pretraining Help Molecular Representation?

Advances in Neural Information Processing Systems

2022/12/6

Ruoxi Sun
Ruoxi Sun

H-Index: 6

Adams Wei Yu
Adams Wei Yu

H-Index: 14

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

2022/6/28

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

2022

Finetuned language models are zero-shot learners

ICLR 2022

2022

Adams Wei Yu
Adams Wei Yu

H-Index: 14

Nan Du
Nan Du

H-Index: 10

Simvlm: Simple visual language model pretraining with weak supervision

2022

Combined scaling for zero-shot transfer learning

arXiv preprint arXiv:2111.10050

2021/11/19

Towards zero-label language learning

arXiv preprint arXiv:2109.09193

2021/9/19

AutoHAS: Efficient hyperparameter and architecture search

2021

Compositional generalization via neural-symbolic stack machines

NeurIPS 2020

2020

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