MinCU: A Fine-Grained Benchmark for Grounded Minimal-Change Understanding in Image Pairs
MinCU is introduced, a benchmark for grounded minimal-change understanding and Semantic-Guided Implicit Spatial Anchors (SG-ISA), a structured autoregressive method that decomposes prediction into a Think-Locate-Describe sequence, suggesting that an implicit intermediate spatial interface can be more effective than rel...