Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query Fan-Out

Google Research has introduced Retrieve-for-Train (R4T), a framework that uses reinforcement learning to train a fan-out model for improved search result diversity and coherence. By generating synthetic training data for a smaller diffusion model, this method allows for a 12 to 20 times increase in query fan-out speed compared to traditional retrieval systems.