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Chengpeng Fu

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#natural language process... Preprint Oct 2026

Adaptive Mutual Distillation for Balanced Multi-Task Post-Training of Large Language Models

Multi-task post-training of large language models (LLMs) aims to improve performance across tasks with unequal amounts of training data. Existing methods focus primarily on balancing task contributions during single-model training. Different task-balancing strategies can produce models with complementary strengths, cre...

Bao-Hang Li, Xiao-Cheng Feng, Yi-Chong Huang et al. · 0 citations
Preprint Aug 2026

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders

Empirical analyses show that MoSE improves high-, medium-, and low-resource languages simultaneously, with the largest gains on low-resource speech, thereby breaking the curse of multilinguality without compromising high-resource performance.

Yexing Du, Kaiyuan Liu, You-Cheng Pan et al. · 0 citations

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