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ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning

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学术前沿 6.0 分 — Addresses important problem of reasoning budget allocation in LRMs, timely topic
原文: cs.LG updates on arXiv.org

评分 6 · 来源:cs.LG updates on arXiv.org · 发布于 2026-04-17

评分依据:Addresses important problem of reasoning budget allocation in LRMs, timely topic

arXiv:2601.08310v2 Announce Type: replace Abstract: Recent Large Reasoning Models (LRMs) achieve strong performance by leveraging long-form Chain-of-Thought (CoT) reasoning, but uniformly applying overlong reasoning at inference time incurs substantial and often unnecessary computational cost. To address this, prior work explores various strategies to infer an appropriate reasoning budget from the input.