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Preprint Jul 2026

DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning

DHRCL decomposes feedback into syntax validation, execution success, unit-test pass rate, and AST-based structural similarity, and organizes these signals through a three-stage Syntax, Execution, Pass&Structural curriculum, and introduces stage-aware probability-based token credit redistribution.

Shuhang Wang, Ziming Li, Huijuan Cheng · 0 citations