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Perturbation-Restrained Sequential Model Editing
2025-01-22
· ICLR 2025 Poster ·
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Findings
IC-348
Sequential parameter-modifying editing causes progressive degradation of general abilities in GPT-2 XL, Llama-2 7B, and Llama-3 8B, driven by growth in the condition number of the edited matrix
IC-349
Larger LLMs (Llama-2 7B, Llama-3 8B) suffer more severe general ability degradation than smaller models (GPT-2 XL 1.5B) under the same number of sequential edits
IC-350
Editing conceptual knowledge with rome on Llama-2 7B is harder than factual knowledge editing, with the model failing to update concept-instance relationships