All Stories

  1. PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective
  2. Generative Auto-Bidding in Large-Scale Auctions via Diffusion Completer-Aligner
  3. Hierarchical Residual Policy Optimization for Generative Recommendations
  4. LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
  5. TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction
  6. AgentIR: 2nd Workshop on Agent-based Information Retrieval
  7. Generative Auto-Bidding with Value-Guided Explorations
  8. GAS: Generative Auto-bidding with Post-training Search
  9. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
  10. Value Function Decomposition in Markov Recommendation Process
  11. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
  12. Future Impact Decomposition in Request-level Recommendations
  13. Modeling User Retention through Generative Flow Networks
  14. AgentIR: 1st Workshop on Agent-based Information Retrieval
  15. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
  16. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  17. Multi-Task Recommendations with Reinforcement Learning
  18. Exploration and Regularization of the Latent Action Space in Recommendation
  19. Two-Stage Constrained Actor-Critic for Short Video Recommendation
  20. Reinforcing User Retention in a Billion Scale Short Video Recommender System