SCoNE: Selective Context-aware Neuron Editing for Robust Retrieval-Augmented Generation

arXiv:2609.00689 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-19

Code: https://github.com/HYU-ARK-Lab/SCoNE

Terminology

• RAG — 60× in this paper · explained in 3 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Robustness — 12× in this paper · explained in 5 episodes
• Retrieval-Augmented Generation — 10× in this paper
• Benchmark — 9× in this paper · explained in 2 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Hallucination — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Eleventh International Conference on Learning Representations — 1× in this paper
• Grounding — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mean Absolute Deviation — 1× in this paper
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• SPLADE-v3: New baselines for SPLADE
• The Llama 3 Herd of Models
• Qwen2.5 Technical Report
• Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression

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