RoRA releases training-free visual token pruning
RoRA allocates visual-token budgets across semantic core, complementary context, and local detail, retaining 96.5% of LLaVA-1.5 performance at 88.9% pruning in author-run tests.
Why it matters: Training-free pruning can cut multimodal prefill and cache load without retraining, if accuracy survives on the actual visual workload.