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Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents

Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurr…

Apple Machine Learning2026/10/15 · 23 天前2 分钟阅读

以下正文同步自 Apple Machine Learning,版权归原站所有,已转换为易读排版。

Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge, we introduce Selection-based Structured Reasoning (SSR), a framework that reformulates reasoning as selection instead of open-ended generation. SSR represents recurring high-level reasoning as pre-specified, reusable natural-language candidates. At each turn, the model selects from the reasoning candidates based on their…

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