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CodeScaler

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LARK-Lab /CodeScalerPair-51K CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models Overview We propose CodeScaler, an execution-free reward model designed to scale both reinforcement learning training and test-time inference for code generation. CodeScaler is trained on carefully curated preference data derived from verified code problems and incorporates syntax-aware code extraction and validity-preserving reward… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/CodeScalerPair-51K.tabular10K<n<100K1 likes34 downloads8mo agoHugging Face