Addressing the Reasoning Gap: Mechanistic Circuit-Based Knowledge Editing in Large Language Models

arXiv:2604.05876 · cs.CL · Submitted 2026-04-07 · Read on arXiv

cs.CL

Submitted: 2026-04-07

Updated: 2026-08-27

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Interpretability — 13× in this paper · explained in 15 episodes
• Multi-hop Reasoning — 10× in this paper · explained in 3 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Activation Patching — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Edge Attribution Patching — 3× in this paper
• Fidelity — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 3× in this paper
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
• Open Problems in Mechanistic Interpretability
• Mechanistic Interpretability for AI Safety -- A Review
• A Comprehensive Study of Knowledge Editing for Large Language Models

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