All Stories

  1. Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
  2. Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
  3. The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  4. Accelerating Retrieval-Augmented Generation
  5. Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  6. Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
  7. Evaluating Retrieval Quality in Retrieval-Augmented Generation
  8. Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
  9. Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
  10. A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering