Tag
This paper introduces DIO-Agent, a discovery agent that synthesizes programs from input-output behavior using LLM-guided evolutionary search with a transformation priority premise to avoid dead ends. Experiments show it outperforms traditional methods and baselines on a new IO2CodeBench benchmark.