Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System

Benchmark Model Rank Results
image-editing-on-kris-benchNative UMM Synergy: End-to-end UMM–KRIS-Bench Overall: 68.33
image-editing-on-risebenchNative UMM Synergy: End-to-end UMM–RISEBench Overall Accuracy: 18.88
mathematical-reasoning-on-mathverseNative UMM Synergy: Und+Gen geometry–Accuracy: 63.15
multimodal-reasoning-on-mathvistaNative UMM Synergy: Und+Gen geometry–Accuracy: 74.3
multimodal-reasoning-on-mmmuNative UMM Synergy: Modality-decoupled MoT U–Accuracy: 42.89
optical-character-recognition-ocr-on-ocrbenchNative UMM Synergy: Dense U+G–Score: 689
text-to-image-generation-on-dpg-benchNative UMM Synergy: Modality-decoupled MoT U+G–DPG-Bench Score: 83.09
vision-language-understanding-on-mmstarNative UMM Synergy: Task-decoupled MoT U+G–Accuracy: 56.51
visual-question-answering-vqa-on-blinkNative UMM Synergy: Dense U+G–Accuracy: 64.09