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Enhong Chen

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#machine learning Preprint Sep 2026

Exploring Heterogeneous Model Merging Approach for Complex Knowledge Transfer

Specialized models encode task-oriented behavior, but transferring that behavior to a general language model usually requires training, distillation, or representation alignment. We study whether such ability can instead be transferred directly at the parameter level. We apply two existing training-free heterogeneous m...

Jia-He Fan, Si Chen, Ying-Hao Hou et al. · 0 citations
Preprint Jun 2026

STAIF: A Stage-wise Optimization for Complex Instruction Following

Following complex instructions with multiple explicit constraints remains a fundamental challenge for large language models (LLMs). Existing alignment methods, such as DPO, optimize holistic reward signals that often underemphasize strict satisfaction of individual constraints, particularly under out-of-distribution or...

Jiangli Hong, Chen Cheng, Quan Liu et al. · 0 citations

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