Visual Question Answering On Mmbench
Metrics
GPT-3.5 score
Results
Performance results of various models on this benchmark
Model Name | GPT-3.5 score | Paper Title | Repository |
|---|---|---|---|
| Video-LaVIT | 67.3 | Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization | - |
| DreamLLM-7B | 49.9 | DreamLLM: Synergistic Multimodal Comprehension and Creation | - |
| CuMo-7B | 73.0 | CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts | - |
| LLaVA-InternLM2-ViT + MoSLoRA | 73.8 | Mixture-of-Subspaces in Low-Rank Adaptation | - |
| LLaVA-LLaMA3-8B-ViT + MoSLoRA | 73.0 | Mixture-of-Subspaces in Low-Rank Adaptation | - |
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