Title: DryRUN: On the Role of Public Tests in LLM-Driven Code Generation

Source: http://arxiv.org/abs/2604.21598v1

Summary:

DryRUN introduces a novel agentic reasoning loop where LLMs autonomously generate inputs and simulate execution traces to self-correct code without relying on human-provided test cases. This removes a primary bottleneck for autonomous software engineering and mitigates the 'overconfidence gap' seen in traditional code generation frameworks.