NLI Improves Compositionality in Vision-Language Models is accepted to #ICLR2025!
CECE enables interpretability and achieves significant improvements in hard compositional benchmarks without fine-tuning (e.g., Winoground, EqBen) and alignment (e.g., DrawBench, EditBench). + info: cece-vlm.github.io
