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arXiv · 2503.17365

How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers

Antonio-Gabriel Chacón Menke·Phan Xuan Tan
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Abstract

Recent incidents highlight safety risks in Large Language Models (LLMs), motivating research into alignment methods like Constitutional AI (CAI). This paper explores CAI's self-critique mechanism on small, uncensored 7-9B parameter models: DeepSeek-R1-8B, Gemma-2-9B, Llama 3.1-8B, and Qwen2.5-7B. We show that while Llama-based models exhibited significant harm reduction through self-critique, other architectures demonstrated less improvement in harm detection after abliteration. These results suggest CAI's effectiveness may vary depending on model architecture and reasoning capabilities.

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Antonio-Gabriel Chacón Menke, Phan Xuan Tan. 2025-02-01. How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers. https://arxiv.org/abs/2503.17365

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