ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection

In three linesARIADNE is a training-free framework for dynamic adapter selection at inference time. It represents each adapter through centroids computed from embeddings of its training set. Tested on Llama 3.2 1B across 23 NLP tasks, it recovers 97.44% of upper-bound performance and achieves 89.7% average selection accuracy on 44 tasks.

Summary generated by Claude — human-verified