AIBullisharXiv – CS AI · 5h ago7/10
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Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
Researchers propose a label-free self-supervised reinforcement learning framework that enables language models to follow complex multi-constraint instructions without external supervision. The approach derives reward signals directly from instructions and uses constraint decomposition strategies to address sparse reward challenges, demonstrating strong performance across both in-domain and out-of-domain instruction-following tasks.