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cs.LG2025
NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
Chongjie Si, Kangtao Lv, Jingjing Jiang +6
Model merging offers a training-free alternative to multi-task learning by combining independently fine-tuned models into a unified one without access to raw data. However, existin…
cs.LG2025
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
Chongjie Si, Jingjing Jiang, Wei Shen
This paper presents a pioneering exploration of the mechanisms underlying large foundation models' (LFMs) weights, aiming to simplify AI research. Through extensive observation and…