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Kenneth Ge

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#machine learning Preprint Aug 2026

Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)

This work gives an agent a tool to switch between specialized LoRA adapters mid-trace, finding that this allows the model to solve problems it previously could not, and that this incurs an up to an 18x reduction in capability tax compared to an agent using only one specialized adapter.

Kenneth Ge · 0 citations