AI RESEARCH
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
arXiv CS.AI
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ArXi:2604.14631v1 Announce Type: cross Effective code generation requires both model capability and a problem representation that carefully structures how models reason and plan. Existing approaches augment reasoning steps or inject specific structure into how models think, but leave scattered problem conditions unchanged.