ALOE: Semantically Addressed Low-Rank Operators for Knowledge Editing

arXiv:2609.29269 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Calibration — 8× in this paper · explained in 7 episodes
• Generalization — 8× in this paper · explained in 13 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• A Comprehensive Study of Knowledge Editing for Large Language Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• The Llama 3 Herd of Models
• Qwen3 Technical Report
• Qwen2.5 Technical Report

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