All Stories

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