MLLMU
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| MLLM Unlearning | MLLMU 15% Task (Real) | Rouge33.2 | 5 | |
| MLLM Unlearning | MLLMU 15% Task (retain) | ROUGE52.7 | 5 | |
| MLLM Unlearning | MLLMU 15% Task (Generalization) | Accuracy37.2 | 5 | |
| MLLM Unlearning | MLLMU 15% Task (forget) | Accuracy34.7 | 5 | |
| MLLM Unlearning | MLLMU 10% Task (Real) | Rouge24.6 | 5 | |
| MLLM Unlearning | MLLMU 10% Task (retain) | ROUGE49.7 | 5 | |
| MLLM Unlearning | MLLMU 10% Task (Generalization) | Accuracy36.5 | 5 | |
| MLLM Unlearning | MLLMU 10% Task (Forget) | Accuracy36.9 | 5 |
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