Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations
cs.AI
Submitted: 2026-06-21
Updated: 2026-10-01
Code: https://github.com/js-lee-AI/skin-deep
Terminology
Sources
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- The Llama 3 Herd of Models
- Gemma 2: Improving Open Language Models at a Practical Size
- ORPO: Monolithic Preference Optimization without Reference Model
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- Mistral 7B
- DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models
- Where Activation Sparsity and KV-Cache Sparsity Cross in LLM Decoding
- Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards
- Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models
- To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG
- The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice
- There is no rose without a thorn: Finding weaknesses on BlenderBot 2.0 in terms of Model, Data and User-Centric Approach
- Steering Llama 2 via Contrastive Activation Addition
- Qwen2.5 Technical Report
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model
- OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
- Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
- Representation Engineering: A Top-Down Approach to AI Transparency
- Universal and Transferable Adversarial Attacks on Aligned Language Models
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