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Ted Zadouri

4 papers hereh-index 3212 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.DS1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

11 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 11 cited

Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Ted Zadouri, Ahmet Üstün, Arash Ahmadian +3

The Mixture of Experts (MoE) is a widely known neural architecture where an ensemble of specialized sub-models optimizes overall performance with a constant computational cost. How…

cs.DS2023

High Probability Bounds for Stochastic Continuous Submodular Maximization

Evan Becker, Jingdong Gao, Ted Zadouri +1

We consider maximization of stochastic monotone continuous submodular functions (CSF) with a diminishing return property. Existing algorithms only guarantee the performance \textit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.