AINeutralarXiv – CS AI · 9h ago6/10
🧠
Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
Researchers introduce MetaRouter, a meta-learning framework that optimizes Large Language Model routing by learning individual users' implicit cost-performance preferences through minimal interaction. The system enables personalized query routing across multiple models, balancing expense reduction with performance maintenance more effectively than existing methods.