CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery

1. 1Identify the problem space for algorithm discovery
2. 2Propose hypotheses using LLM-guided search systems
3. 3Implement and stress-test hypotheses using CliffSearch's evolution operators
4. 4Revise and refine hypotheses based on results

Researchers and developers in AI and scientific computing can benefit from CliffSearch, as it enables the discovery of novel algorithms and improves the efficiency of the scientific discovery process

💡 CliffSearch combines theory and code to improve the discovery of novel algorithms

🚀 CliffSearch: accelerating scientific algorithm discovery with structured agentic co-evolution!