Author

Si 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 Jul 2026

Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning

Evidence is provided that cross-scale heterogeneous fusion can succeed without explicit semantic alignment when the donor contribution is sufficiently concentrated and carefully selected, and that activation-guided extraction improves the quality of the transferable donor slice while preserving the small-ratio fusion r...

Jiahe Fan, Si Chen, Yinghao Hou et al. · 0 citations