IterAlign: Iterative Constitutional Alignment of Large Language Models¶
Arxiv Link - 2024-03-27 08:32:19
Abstract¶
With the rapid development of large language models (LLMs), aligning LLMs with human values and societal norms to ensure their reliability and safety has become crucial. Reinforcement learning with human feedback (RLHF) and Constitutional AI (CAI) have been proposed for LLM alignment. However, these methods require either heavy human annotations or explicitly pre-defined constitutions, which are labor-intensive and resource-consuming. To overcome these drawbacks, we study constitution-based LLM alignment and propose a data-driven constitution discovery and self-alignment framework called IterAlign. IterAlign leverages red teaming to unveil the weaknesses of an LLM and automatically discovers new constitutions using a stronger LLM. These constitutions are then used to guide self-correction of the base LLM. Such a constitution discovery pipeline can be run iteratively and automatically to discover new constitutions that specifically target the alignment gaps in the current LLM. Empirical results on several safety benchmark datasets and multiple base LLMs show that IterAlign successfully improves truthfulness, helpfulness, harmlessness and honesty, improving the LLM alignment by up to $13.5\%$ in harmlessness.
Socials¶
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| 🚀 Exciting advancements in the field of Large Language Models (LLMs) are shaping the future of AI! Ensuring the alignment of LLMs with human values and societal norms is crucial for their reliability and safety. Discover how IterAlign, a data-driven constitution discovery and self-alignment framework, is revolutionizing LLM alignment by automatically uncovering new constitutions to guide self-correction. This innovative approach leverages red teaming to identify weaknesses in LLMs and enhance their alignment without heavy human annotations or predefined constitutions. Check out the research paper to learn more about IterAlign and its impressive results in improving LLM alignment by up to 13.5% in harmlessness: http://arxiv.org/abs/2403.18341v1 #LLM #AIalignment #TechInnovation #AIethics #IterAlign #AIresearch #TechAdvancements |
🚀 Exciting development in the realm of LLM alignment! Introducing IterAlign, a data-driven constitution discovery and self-alignment framework for large language models. Discover how IterAlign leverages red teaming to enhance LLM alignment by up to 13.5% in harmlessness! Check out the research at: http://arxiv.org/abs/2403.18341v1 #AI #LLM #Alignment #TechResearch |