Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
The paper presents Zooming-without-Zooming-v2 (ZwZ2), 4B/9B/27B models trained with reinforcement learning on data from EvidenceConnect, a framework that synthesizes compositional questions from zoomed regions of single images. Reference answers are kept only when independent VLMs agree, and region-ablation tests discard questions answerable without the removed regions. The authors report that ZwZ2 improves over base models on all 25 benchmarks across six domains, including long-context understanding, embodied spatial reasoning, and agent tasks, and release models, data, and code.
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The paper presents Zooming-without-Zooming-v2 (ZwZ2), 4B/9B/27B models trained with reinforcement learning on data from EvidenceConnect, a framework that synthesizes compositional questions from zoomed regions of single images. Reference answers are kept only when independent VLMs agree, and region-ablation tests discard questions answerable without the removed regions. The authors report that ZwZ2 improves over base models on all 25 benchmarks across six domains, including long-context understanding, embodied spatial reasoning, and agent tasks, and release models, data, and code.
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Key findings from the stored brief
- EvidenceConnect synthesizes training questions from zoomed views of related regions within a single image.
- Reference answers are retained only when independent VLMs agree on them.
- Region-ablation checks discard questions whose answers survive removal of selected regions.
- ZwZ2 improves over its base models on all 25 benchmarks across six domains, per the paper.
Source claims not independently checked; benchmark gains are reported by the authors.
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Evidence & sources
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Why this may matter
The work suggests that targeted synthetic supervision for a shared capability, connecting visual evidence, may transfer to spatial reasoning, long-context understanding, and agent tasks more cheaply than task-specific data collection.
Limits and open questions
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