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Giang Do

A2I2

8 papers hereh-index 469 citations9 works total

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

author position
  • first author7
  • middle author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
affiliations
  • A2I2
Homepage

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedCompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CL2025

S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning

Giang Do, Hung Le, Truyen Tran

Sparse Mixture of Experts (SMoE) enables efficient training of large language models by routing input tokens to a select number of experts. However, training SMoE remains challengi…

cs.CL2025

Rethinking Sparse Mixture of Experts from a Unified Perspective

Giang Do, Hung Le, Truyen Tran

Sparse Mixture of Experts (SMoE) models scale the capacity of models while maintaining constant computational overhead. SMoE methods fall into two categories: Token Choice, which r…

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