Papers by Dev Sajnani
A Unified Framework for Model Editing (2024.findings-emnlp)
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| Challenge: | EMMET is a new batched memory-editing algorithm for Transformers that can perform batched edits up to a batch-size of 10,000. |
| Approach: | They propose to unify ROME and MEMIT under a single umbrella to optimize for the preservation-memorization objective. |
| Outcome: | The proposed algorithms perform identically across multiple dimensions and are comparable in their optimization objective, performance and limitations. |