Lior Wolf

ClusterFewshot: Improving Few-shot Optimization for LLMs workflow

ClusterFewshot is proposed, a strategy that combines semantic structuring with utility-aware scoring to construct representative and effective few-shot demonstration sets and substantially reduces optimization cost across multiple benchmarks.