Researcher Profile

Dmitry Lepikhin

Efficient MoE scaling (GLaM)

Co-author, GLaM

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

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Last updated

March 20, 2026

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

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Efficient MoE scaling (GLaM)

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

MoE

Scaling

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

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Claire Cui

Efficient MoE scaling (GLaM)

1 source

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

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

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Kathleen Meier-Hellstern

Efficient MoE scaling (GLaM)

1 source

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

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

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Kellie Webster

Efficient MoE scaling (GLaM)

1 source

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

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

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Kun Zhang

Efficient MoE scaling (GLaM)

1 source

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

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

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Lucas Dixon

Efficient MoE scaling (GLaM)

1 source

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

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

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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