All Stories

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