ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations

Benchmark Model Rank Results
object-hallucination-evaluation-on-popeARM-7B#16F1: 87.3
visual-question-answering-vqa-on-seed-seedbenchARM-7B#16Accuracy: 73.1
image-editing-on-gedit-bench-enARM-7B#27Overall: 6.68
text-to-image-generation-on-genevalARM-RL-7B#57Overall: 0.86
multimodal-reasoning-on-mmmuARM-7B#125Accuracy: 40.2