Compositional Reasoning in Language Models under Reinforcement Learning Post-Training
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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 post-training methods such as reinforcement learning (RL) have substa…
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- 2026-09-18 04:00 · arXiv cs.AI
Compositional Reasoning in Language Models under Reinforcement Learning Post-Training