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What is Adaptive Length Penalties in RL Models about?

The document introduces Adaptive Length Penalty (ALP), a reinforcement learning method that optimizes token usage in large reasoning models by adjusting penalties based on the difficulty of prompts. ALP significantly reduces average token usage by 50% while maintaining or improving accuracy, particularly on easier tasks, by reallocating resources from simple to complex problems. The method outperforms existing length control strategies by allowing models to adaptively learn and internalize problem difficult

Author

Shubham Dalia

Language

EN