Sequential knowledge editing breaks a model's ability to tell good evidence from bad, without costing it accuracy

arXiv:2609.29587 · cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Accuracy — 10× in this paper · explained in 1 episode
• Perplexity — 4× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
• AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

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