Jul 2026
CoRe: A Comprehensive Framework for Cross-Image Comparative Reasoning in Vision-Language Models
Experiments show that CoRe substantially outperforms existing VLMs on CoRe-Bench while remaining competitive on standard multimodal benchmarks, achieving a 28.2-point gain in partial accuracy over the strongest baseline.
Lin Peng, Cong Wan, Zeyu Guo et al.
· arXiv.org · 0 citations