Selection-based Structured Reasoning (SSR) is a new framework that turns freeform reasoning into a choice among predefined natural‑language candidates for multimodal search agents. By selecting high‑level reasoning steps instead of generating them, SSR cuts inference cost and improves action guidance for small models. The approach promises more efficient, reusable reasoning in multimodal AI systems.
Opening Kapyn…