Compositional Reasoning in Language Models under Reinforcement Learning Post-Training
arXiv:2609.19465v1 Announce Type: new Abstract: Compositional reasoning is critical for real-world problem solving: since training data is necessarily limited, models must generalize by composing learned skills in new ways. While...
Read more: https://arxiv.org/abs/2609.19465
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