SCF-RKL Advances Model Merging
SCF-RKL introduces sparse, distribution-aware model merging using reverse KL divergence to minimize interference. It selectively fuses complementary parameters, preserving stable representations and integrating new capabilities. Evaluations on 24 benchmarks show superior performance in reasoning, instruction following, and safety.






