Issue 2026-10-09 · Industry · 研究 · 开源
EngramEdit Enables Decoupled LLM Knowledge Updates
The EngramEdit paper jointly updates shared n-gram embeddings in conditional-memory architectures, enabling factual knowledge edits without touching the Transformer backbone. It achieves near-perfect edit success and about 3x the strongest baseline's chain-of-thought accuracy on multi-hop reasoning.
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