arxiv
PublishedJune 4, 2026 at 4:00 AM
RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training
Publisher summary· verbatim
arXiv:2606.04272v1 Announce Type: new Abstract: The standard LLM training pipeline applies reinforcement learning (RL) only after pre-training and supervised fine-tuning (SFT). We question this status quo by training a LLM from scratch and applying RL, SFT, and SFT followed by RL directly to interme
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Originally published on arxiv ↗