EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Models

arXiv:2609.26175 · cs.AI · Submitted 2026-09-22 · Read on arXiv

cs.AI

Submitted: 2026-09-22

Updated: 2026-09-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 51× in this paper · explained in 2 episodes
• Artificial Intelligence — 25× in this paper
• Knowledge Graph — 19× in this paper · explained in 7 episodes
• Alignment — 7× in this paper · explained in 1 episode
• General Data Protection Regulation — 6× in this paper
• Core — 5× in this paper · explained in 2 episodes
• LLM judge — 5× in this paper · explained in 2 episodes
• Accountability — 3× in this paper · explained in 2 episodes
• Adversarial scenarios — 3× in this paper · explained in 1 episode
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• Obfuscated Activations Bypass LLM Latent-Space Defenses
• Knowledge Graph Representations for LLM-Based Policy Compliance Reasoning
• Jailbreaking Large Language Models with Symbolic Mathematics
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety
• Gemma 4 Technical Report
• GLM-5: from Vibe Coding to Agentic Engineering
• The Llama 3 Herd of Models
• COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
• GraphAttack: Exploiting Representational Blindspots in LLM Safety Mechanisms
• Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
• Kimi K2.5: Visual Agentic Intelligence
• KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs
• AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance
• GPT-4 Technical Report
• Red Teaming Language Models with Language Models
• OpenAI GPT-5 System Card
• Safety Assessment of Chinese Large Language Models
• Qwen3 Technical Report

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