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#artificial intelligence Preprint Sep 2026

GraphAHA: Graph-Based Adaptive Search with Heterogeneous Actions for Test-Time Code Generation

Test-time scaling improves code generation by spending additional inference budget (e.g., calls or tokens) on direct sampling, feedback-conditioned repair, and reasoning-guided implementation. Search-based methods can allocate this budget adaptively, but two challenges remain. First, tree-structured search treats each...

Xi-Tao Li, Hai-Jun Wang, Ge-Ge Yuan et al. · 0 citations

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