MoTE (Mixture of insighTful Experts) synergistically combines multi-step reasoning with specialized expert models to improve LLM alignment with human values without sacrificing performance.

• Integrates thought chains with Mixture-of-Experts architecture to enhance reasoning abilities
• Features a dedicated Safety Checking component for improved security
• Demonstrates superior jailbreak resistance while maintaining model capabilities
• Offers a practical approach to the safety-capability balance challenge in modern LLMs

This research addresses critical security concerns by improving alignment techniques that help protect against harmful outputs while preserving model utility—essential for deploying trustworthy AI in high-stakes environments.

Original Paper: Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment