Li et al. (2025b) theoretically analyzed 'Task Arithmetic' and proved that, under suitable assumptions, linear operations such as addition and negation can successfully edit knowledge in nonlinear Transformers and generalize to out-of-domain tasks.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• Transformers concept