https://pchsieh.com/authors/m.-c.-chang/M.-C. ChangHugoBlox Kit (https://hugoblox.com)en-usTue, 11 Nov 2025 00:00:00 +0000https://pchsieh.com/publications/dual-process-scaffold-reasoning-llm-code-debugging/Tue, 11 Nov 2025 00:00:00 +0000https://pchsieh.com/publications/dual-process-scaffold-reasoning-llm-code-debugging/<p>This paper proposes a dual-process scaffold reasoning framework for large language model (LLM) code debugging. It reaches an <strong>88.91% pass rate on DebugBench</strong>, outperforming prior prompting methods.</p> <p><strong>My role:</strong> first author. This work was done during my LLM engineer internship at the Inventec Artificial Intelligence Center.</p>