No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows
arXiv:2604.23106v1 Announce Type: cross
Abstract: Existing multi-agent Large Language Model (LLM) frameworks for code generation typically use execution feedback and improve iteratively using Input/Output (I/O) test cases. However, this does not work …