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This paper introduces Pico, a data-free method that improves LoRA adapter merging by separately calibrating the output-side matrix B to reduce interference from shared directions while preserving task-specific information. Pico achieves 3.4–8.3 point accuracy improvements over existing merging methods across math, coding, finance, and medical benchmarks.