
Adaptive Expert Selection for Complex Reasoning
A symbolic approach to dynamically route queries to specialized LLM experts
Symbolic-MoE introduces a fine-grained expert routing system that breaks complex problems into specific skills, selecting the optimal LLM for each reasoning component.
- Creates a symbolic representation of tasks to identify required skills
- Dynamically routes queries to specialized LLM experts based on the identified skills
- Achieves improved performance without requiring gradient-based training
- Enables adaptive instance-level mixing of pre-trained models for heterogeneous reasoning tasks
Medical Impact: Enhances diagnostic reasoning by efficiently routing complex medical queries to specialized experts, improving performance on medical question answering tasks like MedMCQA and handling biomedical reasoning with greater accuracy.
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning