Completely rewrite the sentence below in academic style.
We use these relation representations to locate the correct choice image that completes the last row or column for the RPM. Extensive experiments across both synthetic RPM benchmarks, including RAVEN, I-RAVEN, RAVEN-FAIR, and PGM, and the natural image-based ``V-PROM'' demonstrate that \model sets a new state-of-the-art performance for visual reasoning, exceeding the performance of prior models by a considerable margin. We demonstrate our model's ability to realize the underlying rules based on low-level visual tokens with a series of ablation studies that includes both quantitative and qualitative analysis. We further test the robustness to test time domain shifts and generalization ability on unseen analogies.