3 papers
cs.CL2026
Do Domain-specific Experts exist in MoE-based LLMs?
Giang Do, Hung Le, Truyen Tran
In the era of Large Language Models (LLMs), the Mixture of Experts (MoE) architecture has emerged as an effective approach for training extremely large models with improved computa…
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.LG2024
On the Role of Discrete Representation in Sparse Mixture of Experts
Giang Do, Kha Pham, Hung Le +1
Sparse mixture of experts (SMoE) is an effective solution for scaling up model capacity without increasing the computational costs. A crucial component of SMoE is the router, respo…