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University of Chinese Academy of Sciences
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GRPO fails to improve performance in small language models, revealing a critical scale-dependent limitation in reinforcement learning applications.
Forget hand-crafted rules: AutoPPA learns circuit optimization strategies directly from contrasting code examples, outperforming both human experts and existing automated methods.
