Medical Image Classification on NCT-CRC-HE-100K (test)
93.3AccuracyClean RAG (avg.)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Clean RAG (avg.)Model=GPT-4o, Retriever=Average2026.05 | 93.3 | — | — | — | |
| Clean RAG (avg.)Model=GPT-5, Retriever=Average2026.05 | 92.02 | — | — | — | |
| HistoDiffusionAugmentation Strategy=selective, Augmentation Ratio=200%, Classifier Backbone=ViT-B/162023.08 | 91.9 | 91.6 | 91.9 | 99.2 | |
| HistoDiffusionAugmentation Strategy=selective, Augmentation Ratio=300%, Classifier Backbone=ViT-B/162023.08 | 91 | 91.2 | 91 | 98.8 | |
| Clean RAG (avg.)Model=Gemini-2.5, Retriever=Average2026.05 | 90.45 | — | — | — | |
| HistoDiffusionAugmentation Strategy=selective, Augmentation Ratio=100%, Classifier Backbone=ViT-B/162023.08 | 90.3 | 90.2 | 90.3 | 99.1 | |
| StyleGAN2Augmentation Strategy=selective, Augmentation Ratio=300%, Classifier Backbone=ViT-B/162023.08 | 89.8 | 89.6 | 89.8 | 98.7 | |
| LIARModel=GPT-4o, Retriever=CLIP2026.05 | 89.67 | — | — | — | |
| StyleGAN2Augmentation Strategy=selective, Augmentation Ratio=200%, Classifier Backbone=ViT-B/162023.08 | 89.5 | 88.8 | 89.5 | 98.3 | |
| LIARModel=Gemini-2.5, Retriever=CLIP2026.05 | 89.31 | — | — | — | |
| HistoDiffusionAugmentation Strategy=selective, Augmentation Ratio=50%, Classifier Backbone=ViT-B/162023.08 | 89.1 | 88.8 | 89.1 | 98.3 | |
| LIARModel=GPT-5, Retriever=CLIP2026.05 | 88.46 | — | — | — | |
| StyleGAN2Augmentation Strategy=selective, Augmentation Ratio=100%, Classifier Backbone=ViT-B/162023.08 | 87.9 | 87.6 | 87.9 | 98.2 | |
| HistoDiffusionAugmentation Strategy=random, Augmentation Ratio=50%, Classifier Backbone=ViT-B/162023.08 | 87 | 86.9 | 87 | 98.2 | |
| StyleGAN2Augmentation Strategy=selective, Augmentation Ratio=50%, Classifier Backbone=ViT-B/162023.08 | 86.8 | 86.1 | 86.7 | 97.8 | |
| StyleGAN2Augmentation Strategy=random, Augmentation Ratio=50%, Classifier Backbone=ViT-B/162023.08 | 86 | 85.6 | 86 | 98 | |
| BaselineData Split=5% real images, Classifier Backbone=ViT-B/162023.08 | 85.5 | 85 | 85.5 | 98.3 | |
| LIARModel=Gemini-2.5, Retriever=BGE-VL2026.05 | 80.67 | — | — | — | |
| M³AttModel=Gemini-2.5, Retriever=CLIP2026.05 | 79.85 | — | — | — | |
| LIARModel=Claude-4.5, Retriever=CLIP2026.05 | 78.98 | — | — | — | |
| LIARModel=GPT-4o, Retriever=BGE-VL2026.05 | 78.83 | — | — | — | |
| M³AttModel=GPT-4o, Retriever=CLIP2026.05 | 78.41 | — | — | — | |
| M³AttModel=GPT-5, Retriever=CLIP2026.05 | 77.35 | — | — | — | |
| LIARModel=GPT-5, Retriever=BGE-VL2026.05 | 76.59 | — | — | — | |
| Clean RAG (avg.)Model=Claude-4.5, Retriever=Average2026.05 | 76.38 | — | — | — | |
| LIARModel=LLaVA-Med, Retriever=CLIP2026.05 | 75.63 | — | — | — | |
| M³AttModel=Gemini-2.5, Retriever=BGE-VL2026.05 | 73.69 | — | — | — | |
| M³AttModel=GPT-4o, Retriever=BGE-VL2026.05 | 70.62 | — | — | — | |
| LIARModel=Claude-4.5, Retriever=BGE-VL2026.05 | 70.18 | — | — | — | |
| Clean RAG (avg.)Model=LLaVA-Med, Retriever=Average2026.05 | 69.43 | — | — | — | |
| M³AttModel=LLaVA-Med, Retriever=CLIP2026.05 | 69.43 | — | — | — | |
| M³AttModel=Claude-4.5, Retriever=CLIP2026.05 | 69.28 | — | — | — | |
| M³AttModel=GPT-5, Retriever=BGE-VL2026.05 | 68.58 | — | — | — | |
| M³AttModel=Claude-4.5, Retriever=BGE-VL2026.05 | 63.02 | — | — | — | |
| w/o RAGModel=Gemini-2.5, Retriever=None2026.05 | 54.29 | — | — | — | |
| LIARModel=LLaVA-Med, Retriever=BGE-VL2026.05 | 53.22 | — | — | — | |
| M³AttModel=LLaVA-Med, Retriever=BGE-VL2026.05 | 50.16 | — | — | — | |
| w/o RAGModel=GPT-4o, Retriever=None2026.05 | 46.66 | — | — | — | |
| w/o RAGModel=GPT-5, Retriever=None2026.05 | 45.39 | — | — | — | |
| LIARModel=LLaVA-Med, Retriever=Filtered2026.05 | 25.63 | — | — | — | |
| M³AttModel=LLaVA-Med, Retriever=Filtered2026.05 | 23.81 | — | — | — | |
| w/o RAGModel=LLaVA-Med, Retriever=None2026.05 | 21.27 | — | — | — | |
| w/o RAGModel=Claude-4.5, Retriever=None2026.05 | 12.38 | — | — | — | |
| LIARModel=Gemini-2.5, Retriever=Filtered2026.05 | 11.39 | — | — | — | |
| M³AttModel=Gemini-2.5, Retriever=Filtered2026.05 | 9.84 | — | — | — | |
| LIARModel=GPT-4o, Retriever=Filtered2026.05 | 0 | — | — | — | |
| M³AttModel=GPT-4o, Retriever=Filtered2026.05 | 0 | — | — | — | |
| LIARModel=GPT-5, Retriever=Filtered2026.05 | 0 | — | — | — | |
| M³AttModel=GPT-5, Retriever=Filtered2026.05 | 0 | — | — | — | |
| LIARModel=Claude-4.5, Retriever=Filtered2026.05 | 0 | — | — | — | |
| M³AttModel=Claude-4.5, Retriever=Filtered2026.05 | 0 | — | — | — |