Compositional Reasoning in Language Models under Reinforcement Learning Post-Training

A study examining how reinforcement learning post-training affects compositional reasoning in language models, with implications for capability development.

Auto-scored: A research paper on model reasoning capabilities, representing a minor capability development with no direct misuse or safety failure.