Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
arXiv:2604.16029v1 Announce Type: cross
Abstract: Parallel reasoning enhances Large Reasoning Models (LRMs) but incurs prohibitive costs due to futile paths caused by early errors. To mitigate this, path pruning at the prefix level is essential, yet e…