2025
In-Context Editing: Learning Knowledge from Self-Induced Distributions
ICLR 2025poster
In scenarios where language models must incorporate new information efficiently without extensive retraining, traditional fine-tuning methods are prone to overfitting, degraded generalization, and unnatural language generation. To address these limitations, we introduce Consistent In-Context Editing…