arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral
RL Forgets! Towards Continual Policy Optimization
Publisher summary· verbatim
arXiv:2607.04364v2 Announce Type: replace Abstract: Continual post-training is becoming a central paradigm for adapting vision-language models to evolving tasks. Recent work has increasingly favored reinforcement learning over supervised fine-tuning, driven by the belief that reinforcement learning
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Originally published on arxiv ↗