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News/Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
arxiv
PublishedJune 3, 2026 at 4:00 AM

Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning

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arXiv:2604.16029v2 Announce Type: replace 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 existing research remains fragmented without a s

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