SABER Benchmark Evaluates Attribute-Object Binding in Multimodal Retrieval

The SABER benchmark provides a controlled framework to test how well vision-language models preserve attribute-object bindings across different modalities and complex compositional settings. It addresses the limitations of existing benchmarks that only cover simple two-object swaps.