arXiv 2610.22602 · cs.CV · 2026-10-15
Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models
Netanel Y. Tamir, Michael Green, Issar Tzachor, Or Shimshi, Dvir Samuel, Or Patashnik, Rami Ben-Ari
Affiliation unverified
In latest · #386 Added on 2026-10-25
One-line takeaway
SABER is a controlled benchmark testing attribute-object binding in vision-language embeddings across all four image/text retrieval pairings, going beyond simple two-object swaps.
SABER 是受控基准，在图文四种检索组合下测视觉语言模型能否把属性绑定到正确物体上，覆盖比简单双物体互换更复杂的设置。
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.
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