---
title: "Structured Reasoning"
description: "1 posts about Structured Reasoning, summarised, each linking to the original."
---

# Structured Reasoning
> 1 posts about Structured Reasoning, summarised, each linking to the original.

## Articles

### [Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents](https://yomu.fyi/post/selection-based-structured-reasoning-toward-efficient-multimodal-searc.md)
- Company: [Apple](https://yomu.fyi/company/apple.md)
- Published: Oct 15, 2026
- Type: Problem & solution

Multimodal search agents typically rely on freeform reasoning before acting, but small models often produce lengthy reasoning that offers little guidance and increases inference cost. The authors propose Selection-Based Structured Reasoning (SSR), which reframes reasoning as selecting from pre-specified natural-language candidates rather than open-ended generation. SSR enables parallel scoring by using teacher-forced prefilling and a shared context KV cache to compute token likelihoods across candidates simultaneously. Evaluated on seven multimodal search benchmarks with 2B and 4B models, SSR maintains task performance under various reinforcement learning objectives and supervised fine-tuning. The framework achieves search success rates competitive with leading agents of the same scale while reducing per-turn reasoning latency by over 90% and total per-question inference latency by 28–54%.