All Stories

  1. Plan-and-Refine in RAG: Generating Diverse and Comprehensive Responses through Global Exploration and Local Exploitation
  2. Evaluation of Agents under Simulated AI Marketplace Dynamics
  3. Learning from Natural Language Feedback for Personalized Question Answering
  4. Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
  5. Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
  6. Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
  7. Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
  8. The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  9. Accelerating Retrieval-Augmented Generation
  10. Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  11. Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
  12. Evaluating Retrieval Quality in Retrieval-Augmented Generation
  13. Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
  14. Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
  15. A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering