Execution-policy search in EliteTable drives self-improvement

EliteTable is a self-improving program search algorithm guided by large language models. It uses a fixed-size table to store high-scoring solutions, boosting exploration efficiency and performance. From its initial design, adaptive self-improvement is built in, and it is expected to be applicable to practical optimization.

Why it mattersBalancing automation of model search and performance improvement can greatly change development costs and release speed.