AI RESEARCH
Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2
arXiv CS.AI
•
ArXi:2603.20334v1 Announce Type: cross In complex code-generation tasks, conversation-based LLM code repair exhibits limited ability to recover from first-pass programming errors, as such code revisions are usually driven by LLMs' "plausible reasoning" rather than a formal, algorithmic debugging procedure. However, a formal foundation for such debugging exists in Udi Shapiro's theory of algorithmic program debugging (APD), which frames program repair as an explicit, stepwise procedural refinement process.