PPaperPicks

Guorui Zhou

38 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement
  2. CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
  3. ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
  4. Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
  5. DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
  6. DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
  7. DiffGRM: Diffusion-based Generative Recommendation Model
  8. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
  9. Foresight Prediction Enhanced Live-Streaming Recommendation
  10. GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
  11. LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
  12. OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
  13. OneRec-Think: In-Text Reasoning for Generative Recommendation
  14. PushGen: Push Notifications Generation with LLM
  15. ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
  16. TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
  17. Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
  18. Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning
  19. Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
  20. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning
  21. Why Can Distillation Work with Limited Resources? A Systematic Study
  22. DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
  23. FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
  24. HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
  25. MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity
  26. MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
  27. MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
  28. Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
  29. Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization
  30. QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
  31. RecFlow: An Industrial Full Flow Recommendation Dataset
  32. Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
  33. Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation
  34. Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling
  35. Contextual Distillation Model for Diversified Recommendation
  36. De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction
  37. Federated Adaptation for Foundation Model-based Recommendations
  38. MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion