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arXiv1d ago
5.3

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment

Rishab Balasubramanian, Pin-Jie Lin, Rituraj Sharma, Anjie Fang, Fardin Abdi, Viktor Rozgic, Zheng Du, Mohit Bansal, Tu Vu

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty9/10
Categorypaper
Topics
fine-tuninginferencetransfer-learning

Opportunity Brief

Build an 'UNLOCK' engine that performs training-free cross-model transfer via linear subspace alignment. This would allow developers to 'port' reasoning or coding capabilities from large models to small local models without fine-tuning.

Suggested repo: unlock-transfer

"Port capabilities across models instantly, no training required."

Estimated effort: 120h