Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI 🤗 Hugging Face (data and model) | 📑 Paper | 📑 Blog Large Language Models (LLMs) have become incredibly powerful, but they often hit a wall when faced with truly complex reasoning tasks that require discovering a solution from scratch. Simply throwing more computing power or using a bigger model often yields diminishing returns. But what if a model could learn from its own experience, getting smarter with every attempt? ...