SaplingGuard: A Multidimensional-Profile-Aware Multi-Agent Guardrail for Developmentally Safe Adolescent-LLM Interaction

arXiv:2609.35892 · cs.CR · Submitted 2026-09-27 · Read on arXiv

cs.CR

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Benchmark — 10× in this paper · explained in 2 episodes
• Core — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Academic Pressure — 6× in this paper
• Sexual Innuendo — 5× in this paper
• Model-Agnostic — 4× in this paper · explained in 2 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Intensification of Family Conflicts — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Metacognition — 1× in this paper · explained in 5 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Normalized Expressions of Risky Behavior — 1× in this paper
• Pathological Body Image and Unhealthy Dieting — 1× in this paper
• RAG — 1× in this paper · explained in 3 episodes
• Reinforcement of Negative Emotions — 1× in this paper

Sources

• The Age of Curiosity Meets the Age of AI: Benchmarking Child Safety in Large Language Models
• Constitutional AI: Harmlessness from AI Feedback
• The Llama 3 Herd of Models
• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
• Mixtral of Experts
• Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions
• Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
• GPT-4 Technical Report
• Qwen2.5 Technical Report
• LLM Safety for Children
• CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
• Gemini: A Family of Highly Capable Multimodal Models
• GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
• Qwen3 Technical Report
• Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
• Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
• Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students

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