Multimodal Understanding on MMT emo
60.8AccuracyCoMemo
Evaluation Results
| Method | Links | |
|---|---|---|
| CoMemoTraining Strategy=Visual Injection2026.05 | 60.8 | |
| PVM-8B (SFT)Backbone=8B, Training Strategy=SFT, Model Architecture=Persistent Visual Memory2026.05 | 58.3 | |
| PVM-8B (SFT + GRPO)Backbone=8B, Training Strategy=SFT + GRPO, Model Architecture=Persistent Visual Memory2026.05 | 58.3 | |
| PVM-4B (SFT)Backbone=4B, Training Strategy=SFT, Model Architecture=Persistent Visual Memory2026.05 | 57.5 | |
| Qwen3-VL-8B-InstructBackbone=8B2026.05 | 56.7 | |
| Qwen3-VL-4B-InstructBackbone=4B2026.05 | 56.7 | |
| Qwen3-VL-4B (LoRA-SFT + GRPO)Backbone=4B, Training Strategy=LoRA-SFT + GRPO2026.05 | 55.8 | |
| PVM-4B (SFT + GRPO)Backbone=4B, Training Strategy=SFT + GRPO, Model Architecture=Persistent Visual Memory2026.05 | 55.8 | |
| PEARL-8BBackbone=8B, Training Strategy=RL-tuned2026.05 | 55 | |
| Qwen3-VL-4B (LoRA-SFT)Backbone=4B, Training Strategy=LoRA-SFT2026.05 | 55 | |
| MemVRTraining Strategy=Visual Injection2026.05 | 54.2 | |
| ICoTTraining Strategy=Visual Injection2026.05 | 54.2 | |
| Euclid-8BBackbone=8B, Training Strategy=RL-tuned2026.05 | 54.2 | |
| Qwen3-VL-8B (SFT + GRPO)Backbone=8B, Training Strategy=SFT + GRPO2026.05 | 54.2 | |
| Qwen3-VL-4B (SFT + GRPO)Backbone=4B, Training Strategy=SFT + GRPO2026.05 | 53.3 | |
| Qwen3-VL-8B (LoRA-SFT + GRPO)Backbone=8B, Training Strategy=LoRA-SFT + GRPO2026.05 | 52.5 | |
| OneThinker-8BBackbone=8B, Training Strategy=RL-tuned2026.05 | 51.7 | |
| Qwen3-VL-8B (LoRA-SFT)Backbone=8B, Training Strategy=LoRA-SFT2026.05 | 51.7 | |
| Qwen3-VL-8B (SFT)Backbone=8B, Training Strategy=SFT2026.05 | 50.8 | |
| Qwen3-VL-4B (SFT)Backbone=4B, Training Strategy=SFT2026.05 | 50.8 |