Zooming without Zooming v2
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- EvidenceConnect trains VLMs to connect visual evidence
Lai Wei and 12 other authors submitted “Zooming without Zooming v2” to arXiv on October 27, 2026, introducing EvidenceConnect, a synthetic-data framework built around zoomed views of related regions in single images. The authors train base vision-language models on questions requiring visual-evidence comparison, aggregation, or chaining using RLVR, producing Zooming without Zooming v2 (ZwZ2). They report gains in fine-grained and spatial perception, embodied spatial reasoning, multimodal long-context understanding, multimodal agent tasks, and general visual reasoning.
Hugging Face · Papers · 🔥 0
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