All Stories

  1. Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions
  2. SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
  3. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
  4. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
  5. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
  6. Conformal Counterfactual Inference under Hidden Confounding
  7. Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
  8. SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations
  9. Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data
  10. AutoMLP: Automated MLP for Sequential Recommendations
  11. Causal Disentanglement for Implicit Recommendations with Network Information