JAMER releases the first large-scale dataset and benchmark for project-level code frameworks on the Godot game engine, derived from game jam repositories and evaluated on frontier models showing sharp performance drops with scale.
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EmbGen creates synthetic QA data by entity decomposition, embedding-based reassembly into clusters, and multi-level sampling with cluster-specific prompts, yielding up to 88.9% higher Binary Accuracy than baselines on heterogeneous datasets under fixed token budgets.
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JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines
JAMER releases the first large-scale dataset and benchmark for project-level code frameworks on the Godot game engine, derived from game jam repositories and evaluated on frontier models showing sharp performance drops with scale.
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EmbGen: Teaching with Reassembled Corpora
EmbGen creates synthetic QA data by entity decomposition, embedding-based reassembly into clusters, and multi-level sampling with cluster-specific prompts, yielding up to 88.9% higher Binary Accuracy than baselines on heterogeneous datasets under fixed token budgets.