TypePro reaches 88.9% and 86.6% Top-1 exact match on Python and TypeScript type-inference datasets by feeding LLMs inter-procedural slices plus structurally derived candidate types.
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Controlled experiments show PLM-GNN hybrids improve code tasks over GNN-only baselines, with PLM source having larger impact than GNN backbone.
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TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing
TypePro reaches 88.9% and 86.6% Top-1 exact match on Python and TypeScript type-inference datasets by feeding LLMs inter-procedural slices plus structurally derived candidate types.
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PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
Controlled experiments show PLM-GNN hybrids improve code tasks over GNN-only baselines, with PLM source having larger impact than GNN backbone.