arxiv
PublishedMay 27, 2026 at 4:00 AM
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GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training
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arXiv:2605.26184v1 Announce Type: cross Abstract: Hybrid post-training usually combines supervised fine-tuning and reinforcement learning, but fixed mixing schedules cannot adapt when the relative noise of the two signals changes over time. We propose GAC, a noise-aware controller that derives an ad
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Originally published on arxiv ↗