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Research questionHow can multimodal models learn when and where to zoom in without supervised warm-start data?High-resolution image tasks require models to inspect informative regions, but learning those zoom decisions often depends on costly supervised warm-start data.
AI
AI Agents
Computer Vision
Evaluation & Benchmarks
Multimodal Models
Reinforcement Learning
Latest papersRecent research connected to this question, newest first.Learning to Zoom Efficiently with a Contrastive CurriculumThe source concerns multimodal language models using a zoom-in tool and examines training without additional labels or warm-start supervised fine-tuning. Evidence includes V*, HRBench, MME-RealWorld, and the synthetic Muffin&Chihuahua dataset with region-of-interest labels.research paper · Sep 2, 2026
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