2025
Planning in Natural Language Improves LLM Search for Code Generation
ICLR 2025spotlight
While scaling training compute has led to remarkable improvements in large language models (LLMs), scaling inference compute only recently began to yield analogous gains. We hypothesize that a core missing component is a lack of diverse LLM outputs, leading to inefficient search due to models repeat…