arxiv
PublishedMay 26, 2026 at 4:00 AM
MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models
Publisher summary· verbatim
arXiv:2605.26004v1 Announce Type: cross Abstract: Instruction tuning of large vision-language models (LVLMs) increasingly depends on massive multimodal corpora, yet these datasets contain samples with substantial redundancy, low visual dependency, and highly imbalanced coverage of multimodal reasoni
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Originally published on arxiv ↗