Papers by Jung Jun Lee

1 papers
Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning (2025.emnlp-main)

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Challenge: A sparse Mixture-of-Experts architecture has emerged as a highly scalable solution for instruction tuning.
Approach: They propose a mixture-of-Clustered-Experts (MoCE) architecture that allows expert specialization . they evaluate the mechanism on a set of benchmarks and show its superiority .
Outcome: The proposed approach outperforms existing models and benchmarks on instruction tuning scenarios with significant input heterogeneity.

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