Automating Ingenuity: Evolving LLM Reasoning Chains with Algorithms

This brilliant research showcases an exciting leap forward by automating the design of reasoning structures for Large Language Models (LLMs). Instead of relying on human-crafted prompts, the evolutionary algorithm independently discovered highly effective parallel branching strategies, matching hand-designed baselines. The fact that such an innovative approach was achieved with a tiny model and minimal compute resources makes it incredibly promising for future development!