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Test-time reward-guided alignment of language models by importance sampling on pre-logit space
无需重新训练，在推理阶段通过pre-logit空间重要性采样实现奖励对齐，高效且不影响模型原有能力。
arXiv:2510.26219v3 Announce Type: replace-cross Abstract: Test-time alignment of large language models (LLMs) attracts attention because fine-tuning o…