Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Language Models through Latent Semantic Alignment

In three linesSemAlign enables cross-scale knowledge transfer between language models via latent semantic alignment. Instead of direct parameter copying, the method uses activations as transfer medium, pairing source and target layers and optimizing through semantic supervision. Evaluated on four benchmarks.

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