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20182026
most citedCOMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search

2 citations · 4 across the 6 of their papers we have counts for

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cs.CL2024

Scaling Laws for Downstream Task Performance of Large Language Models

Berivan Isik, Natalia Ponomareva, Hussein Hazimeh +3

Scaling laws provide important insights that can guide the design of large language models (LLMs). Existing work has primarily focused on studying scaling laws for pretraining (ups…