Researcher Profile

Claire Cui

Efficient MoE scaling (GLaM)

Co-author, GLaM

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Topics

About This Page

This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.

Last updated

March 20, 2026

Best First Clicks

GLaM: Efficient Scaling of Language Models with Mixture-of-Expertspaper

Known For

The ideas, systems, and research directions that make this person worth knowing.

Efficient MoE scaling (GLaM)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

MoE

Scaling

Start Here

Canonical papers, project pages, or repositories that anchor this profile.

GLaM: Efficient Scaling of Language Models with Mixture-of-Expertspaper

Related Researchers

People worth exploring next because they share topics, labs, or source material with this profile.

Shared canonical source

Dmitry Lepikhin

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Shared canonical source

Kathleen Meier-Hellstern

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Shared canonical source

Kellie Webster

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Shared canonical source

Kun Zhang

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Shared canonical source

Lucas Dixon

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Shared canonical source

Maxim Krikun

Efficient MoE scaling (GLaM)

1 source

Co-authored GLaM: an influential MoE scaling reference in large language modeling.

Systems & Infrastructure

Start HereGLaM: Efficient Scaling of Language Models with Mixture-of-Experts