CURE: Local Uncertainty Repair for Block-Parallel Speculative Decoding
This work proposes CURE, a budget-aware dynamic repair tree designed to repair errors at uncertainty focal points without incurring prohibitive tree-verification overheads, and provides a plug-and-play repair module compatible with standard parallel drafting frameworks.