Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
cs.AI
Submitted: 2026-06-01
Updated: 2026-10-13
Terminology
Sources
- CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing
- Scaling Laws for Neural Language Models
- Textbooks Are All You Need II: phi-1.5 technical report
- PropMEND: Hypernetworks for Knowledge Propagation in LLMs
- Qwen3 Technical Report
- Efficiently Quantifying and Mitigating Ripple Effects in Model Editing
- Qwen2 Technical Report
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