All Stories

  1. Verifiable Reasoning for LLM-based Generative Recommendation
  2. RecoWorld: Building Simulated Environments for Agentic Recommender Systems
  3. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
  4. Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep
  5. NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision
  6. Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
  7. W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
  8. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
  9. Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
  10. Recommendation Unlearning via Influence Function
  11. User Welfare Optimization in Recommender Systems with Competing Content Creators
  12. Large Language Models are Learnable Planners for Long-Term Recommendation
  13. Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation
  14. A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
  15. A Causal View for Item-level Effect of Recommendation on User Preference
  16. WebFormer: The Web-page Transformer for Structure Information Extraction
  17. Deep Partial Multiplex Network Embedding