AI RESEARCH
DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models
arXiv CS.LG
•
ArXi:2603.23140v1 Announce Type: new The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms to select an appropriate available model to respond to a user's prompts. Recent works have proposed offline and online learning formulations to identify the optimal generative AI model for an input prompt, based solely on maximizing prompt-based fidelity evaluation scores, e.g., CLIP-Score in text-to-image generation.