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cs.CL2026
ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding
Sangjun Song, Minjae Oh, Seungkyu Lee +2
Large Reasoning Models (LRMs) allocate substantial inference-time compute to Chain-of-Thought (CoT) reasoning, improving performance on mathematics, scientific QA, and tool usage.…
cs.CL2026
Future Policy Approximation for Offline Reinforcement Learning in LLM Reasoning
Minjae Oh, Yunho Choi, Dongmin Choi +1
Reinforcement learning (RL) has emerged as a key driver of post-training for complex reasoning in large language models (LLMs), yet online RL introduces substantial instability and…