List your company

Multimodal Retrieval on RedditS MAG benchmark

78.3R@1GOMA
-1.67619.08739.8560.613May 15, 2026

Evaluation results

MethodLinks
GOMAMethod Category=Our Method, Feature Backbone=Qwen2-VL2026.0578.399.199.7
DGFMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0577.696.898.6
DMGCMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.0575.690.893.5
SmartCLIPMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0515.333.944.3
CLIP-RefineMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.0513.829.537.6
D2S-VSEMethod Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.059.42432.7
VSE++Method Category=Pairwise Image-Text Retrieval Baselines, Feature Backbone=Qwen2-VL2026.059.223.131.7
LGMRecMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.054.615.724.7
LinearMethod Category=Direct Retrieval Baselines, Feature Backbone=Qwen2-VL2026.053.510.816.8
MGATMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.052.79.816.3
RawMethod Category=Direct Retrieval Baselines, Feature Backbone=Qwen2-VL2026.052.26.49.1
MMGCNMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.052.18.815.5
GSMNMethod Category=Multimodal Graph Retrieval & Recent MAG Models, Feature Backbone=Qwen2-VL2026.051.46.110.8