arxiv
PublishedSeptember 17, 2026 at 4:00 AM
OBC-Prune: Outcome-Based Calibration for Large Reasoning Model Pruning
Publisher summary· verbatim
arXiv:2609.17890v1 Announce Type: new Abstract: Large reasoning models (LRMs) generate long chain-of-thought traces before answering, creating significant inference overhead. Pruning can reduce this cost, but its effectiveness depends on the calibration data used to estimate parameter importance. Re
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