arXiv 2610.01892 · cs.LG · 2026-10-01
Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents
Feiyu Gavin Zhu, Xiaoyu Zhu, Jiqi Yang, Rui Yang, Arnab Kumar Mondal, Yancheng Wang, Xinke Deng, Jean Oh 等 12 人
Carnegie Mellon University
在最新榜 #272 本站收录于 2026-10-21
一句话要点
SSR 让小模型从预设推理候选中“选择”而不是自由生成，降低多模态搜索 Agent 的推理成本。
SSR has small models select from predefined reasoning candidates instead of free generation, cutting cost for multimodal search agents.
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主题与学科
同主题：推理
- LEV: Thinking Fast and Deep with Looped Decision Models ▲602
- Thinking Inertia: LLMs Keep Thinking When Told Not To ▲241
- Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence ▲224
- Questioning the Questions: Sustaining Self-Evolution in Reasoning Models ▲85
- Improving Test-Time Scaling with Adaptive Looped Transformers ▲62
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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