reasoning-via-sampling

【效率与协作】Improves base model reasoning through iterative sampling without training or fine-tuning. Uses MCMC-inspired sampling to extract latent reasoning from pretrained models, achieving RL-comparable gains on math, coding, and QA tasks while preserving diversity.

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