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Didem Unat

1 paper hereh-index 29 citations5 works total

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  • cs.DC1

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most citedBalanced and Elastic End-to-end Training of Dynamic LLMs

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.DC2025★ 3 cited

Balanced and Elastic End-to-end Training of Dynamic LLMs

Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat

To reduce the computational and memory overhead of Large Language Models, various approaches have been proposed. These include a) Mixture of Experts (MoEs), where token routing aff…

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