Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search

In three linesDivInit improves test-time scaling for agentic search by diversifying initial queries. Instead of sampling k independent queries in parallel, the method generates n candidates then selects k diverse seeds. Gains of 5-7 points on multi-hop QA at matched compute, validated across 5 open-weight models and 8 benchmarks.

Summary generated by Claude — human-verified