Papers by Stefan Lazov
Is Sparse Attention more Interpretable? (2021.acl-short)
Copied to clipboard
| Challenge: | Sparse attention has been claimed to increase model interpretability . however, the attention distribution is typically over representations internal to the model rather than the inputs themselves . |
| Approach: | They conduct experiments to understand how sparsity affects our ability to use attention as an explainability tool. |
| Outcome: | The proposed model does not map to a sparse set of influential inputs, but rather to fewer inputs. |