SAGE combines supervised fine-tuning and GRPO reinforcement learning to generate CCFG grammars from competitive programming specs, achieving 96.66% set-based validity and 80.67% set-based effectiveness on 240 held-out problems.
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SAGE:Specification-Aware Grammar Extraction for Automated Test Case Generation with LLMs
SAGE combines supervised fine-tuning and GRPO reinforcement learning to generate CCFG grammars from competitive programming specs, achieving 96.66% set-based validity and 80.67% set-based effectiveness on 240 held-out problems.