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
机构待核实
在最新榜 #386 本站收录于 2026-10-25
一句话要点
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。
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.
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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