Parameter Norm Penalties
Rank-One Model Editing
Introduced by Meng et al. in Locating and Editing Factual Associations in GPTPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Model Editing | 8 | 25.00% |
| Language Modelling | 3 | 9.38% |
| Specificity | 3 | 9.38% |
| Memorization | 2 | 6.25% |
| Large Language Model | 1 | 3.13% |
| Response Generation | 1 | 3.13% |
| Density Estimation | 1 | 3.13% |
| knowledge editing | 1 | 3.13% |
| Common Sense Reasoning | 1 | 3.13% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
