Pang Wei Koh

Pang Wei Koh

Stanford University

H-index: 32

North America-United States

About Pang Wei Koh

Pang Wei Koh, With an exceptional h-index of 32 and a recent h-index of 31 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine learning, Natural language processing, Computational biology.

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

Using unlabeled data to enhance fairness of medical AI

Information-Theoretic Distillation for Reference-less Summarization

Reliable, adaptable, and attributable language models with retrieval

Are aligned neural networks adversarially aligned?

On the trade-off of intra-/inter-class diversity for supervised pre-training

Proximity-informed calibration for deep neural networks

Datacomp: In search of the next generation of multimodal datasets

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Pang Wei Koh Information

University

Position

___

Citations(all)

14386

Citations(since 2020)

12767

Cited By

3913

hIndex(all)

32

hIndex(since 2020)

31

i10Index(all)

36

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Pang Wei Koh Skills & Research Interests

Machine learning

Natural language processing

Computational biology

Top articles of Pang Wei Koh

Using unlabeled data to enhance fairness of medical AI

Nature Medicine

2024/4

Information-Theoretic Distillation for Reference-less Summarization

arXiv preprint arXiv:2403.13780

2024/3/20

Reliable, adaptable, and attributable language models with retrieval

arXiv preprint arXiv:2403.03187

2024/3/5

Are aligned neural networks adversarially aligned?

Advances in Neural Information Processing Systems

2024/2/13

On the trade-off of intra-/inter-class diversity for supervised pre-training

Advances in Neural Information Processing Systems

2024/2/13

Proximity-informed calibration for deep neural networks

Advances in Neural Information Processing Systems

2024/2/13

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

arXiv preprint arXiv:2402.03271

2024/2/5

Instructional fingerprinting of large language models

arXiv preprint arXiv:2401.12255

2024/1/21

Impossibility theorems for feature attribution

Proceedings of the National Academy of Sciences

2024/1/9

Blair Bilodeau
Blair Bilodeau

H-Index: 1

Pang Wei Koh
Pang Wei Koh

H-Index: 17

Retrieval-based Language Models Using a Multi-domain Datastore

2023/12/7

Improving Out-of-Domain Generalization with Domain Relations

2023/10/13

Openflamingo: An open-source framework for training large autoregressive vision-language models

arXiv preprint arXiv:2308.01390

2023/8/2

Factscore: Fine-grained atomic evaluation of factual precision in long form text generation

arXiv preprint arXiv:2305.14251

2023/5/23

Out-of-Domain Robustness via Targeted Augmentations

2023/7/3

Wild-time: A benchmark of in-the-wild distribution shift over time

Advances in Neural Information Processing Systems

2022/12/6

Stronger data poisoning attacks break data sanitization defenses

Machine Learning

2022/1/1

See List of Professors in Pang Wei Koh University(Stanford University)

Co-Authors

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