PaT: Planning-after-Trial for Efficient Test-Time Code Generation

Youngsik Yoon, Sungjae Lee, Seockbean Song +3

Beyond training-time optimization, scaling test-time computation has emerged as a key paradigm to extend the reasoning capabilities of Large Language Models (LLMs). However, most e…