Papers by Lehao Xing

1 papers
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts (2025.findings-emnlp)

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Challenge: MultiPL is a special case of multiple natural languages and requires limited computational resources to generate multilingual code.
Approach: They propose to extend LLMs by combining two paired experts to optimize expert selection at token and segment levels.
Outcome: The proposed extension improves the performance of the base LLMs while retaining the most popular ones using limited computational resources.

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