There are Levels to It: Red Teaming Dialogue With Hierarchical Reinforcement Learning

arXiv:2508.04451 · cs.LG, cs.AI · Submitted 2025-08-06 · Read on arXiv

cs.LG, cs.AI

Submitted: 2025-08-06

Updated: 2026-10-13

Terminology

• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 12 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
• Explore, Establish, Exploit: Red Teaming Language Models from Scratch
• Jailbreaking Black Box Large Language Models in Twenty Queries
• Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
• The Llama 3 Herd of Models
• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
• Mixtral of Experts
• Backdoor Attacks for In-Context Learning with Language Models
• Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games
• GPT-4o System Card
• Proximal Policy Optimization Algorithms
• Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation
• Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
• Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
• Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
• GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
• Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
• Universal and Transferable Adversarial Attacks on Aligned Language Models

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