in-context-editing-outperforms-ke

IN premise — summaries/2026/08/24/cohen-2023-ripple-effects-s0-abstract.md

Created 2026-08-25T02:57:56+00:00

A simple in-context editing baseline obtains the best scores on the RIPPLE EDITS benchmark, outperforming all dedicated parameter-level knowledge editing methods

Summary

Just telling a model the correction in its prompt beats every specialized technique that surgically rewrites the model's internal parameters. This means the expensive, complex editing machinery may be unnecessary, since the most straightforward approach of showing the model the right answer in context is already the best option available.