All Stories

  1. Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA
  2. Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
  3. Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
  4. Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
  5. Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
  6. Scenario Shared Instance Modeling for Click-through Rate Prediction
  7. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
  8. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
  9. OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
  10. Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
  11. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
  12. Optimizing Feature Set for Click-Through Rate Prediction
  13. OptEmbed