ProjAgent introduces procedural similarity—retrieving code with matching computational logic—via LLM hidden-state projections, improving repository-level code generation to 41.14% Pass@1 on REPOCOD.
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Synthetic data generation in privacy-constrained medical domains shifts the engineering challenge from data availability to the elicitation, validation, and evolution of stakeholder-specific validity properties.
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ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation
ProjAgent introduces procedural similarity—retrieving code with matching computational logic—via LLM hidden-state projections, improving repository-level code generation to 41.14% Pass@1 on REPOCOD.
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Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain
Synthetic data generation in privacy-constrained medical domains shifts the engineering challenge from data availability to the elicitation, validation, and evolution of stakeholder-specific validity properties.