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        <title>Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing</title>
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    <abstract>Recent work using Rank-One Model Editing (ROME), a popular model editing method, has shown that there are certain facts that the algorithm is unable to edit without breaking the model. Such edits have previously been called disabling edits. These disabling edits cause immediate model collapse and limits the use of ROME for sequential editing. In this paper, we show that disabling edits are an artifact of irregularities in the implementation of ROME. With this paper, we provide a more stable implementation ROME, which we call r-ROME and show that model collapse is no longer observed when making large scale sequential edits with r-ROME, while further improving generalization and locality of model editing compared to the original implementation of ROME. We also provide a detailed mathematical explanation of the reason behind disabling edits.</abstract>
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%0 Conference Proceedings
%T Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
%A Gupta, Akshat
%A Baskaran, Sidharth
%A Anumanchipalli, Gopala
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F gupta-etal-2024-rebuilding
%X Recent work using Rank-One Model Editing (ROME), a popular model editing method, has shown that there are certain facts that the algorithm is unable to edit without breaking the model. Such edits have previously been called disabling edits. These disabling edits cause immediate model collapse and limits the use of ROME for sequential editing. In this paper, we show that disabling edits are an artifact of irregularities in the implementation of ROME. With this paper, we provide a more stable implementation ROME, which we call r-ROME and show that model collapse is no longer observed when making large scale sequential edits with r-ROME, while further improving generalization and locality of model editing compared to the original implementation of ROME. We also provide a detailed mathematical explanation of the reason behind disabling edits.
%U https://aclanthology.org/2024.emnlp-main.1210
%P 21738-21744

Markdown (Informal)

[Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing](https://aclanthology.org/2024.emnlp-main.1210) (Gupta et al., EMNLP 2024)

• Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing (Gupta et al., EMNLP 2024)

ACL

• Akshat Gupta, Sidharth Baskaran, and Gopala Anumanchipalli. 2024. Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 21738–21744, Miami, Florida, USA. Association for Computational Linguistics.