Papers by TrungTin Nguyen

1 papers
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts (2023.emnlp-main)

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Challenge: Recent studies suggest that fixing the routers can achieve competitive performance by alleviating the collapsing problem, where all experts eventually learn similar representations.
Approach: They propose a method that dynamically generates router parameters through a fixed hypernetwork and trainable embeddings to achieve a balance between training the routers and freezing them to learn an improved routing policy.
Outcome: Experiments on a wide range of tasks show that the proposed method performs better than existing methods.

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