PPaperPicks

Kun Gai

67 papers at tracked venues · 48 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
  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. DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
  5. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
  6. FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
  7. GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
  8. LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
  9. OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
  10. OneRec-Think: In-Text Reasoning for Generative Recommendation
  11. PushGen: Push Notifications Generation with LLM
  12. Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning
  13. Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
  14. Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
  15. Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
  16. A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective
  17. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
  18. Comprehensive List Generation for Multi-Generator Reranking
  19. Creator-Side Recommender System: Challenges, Designs, and Applications
  20. DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
  21. Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework
  22. FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
  23. Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
  24. FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention
  25. Generative Auto-Bidding with Value-Guided Explorations
  26. Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
  27. Hierarchical Sequence ID Representation of Large Language Models for Large-scale Recommendation Systems
  28. Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
  29. HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
  30. Imbalance in Balance: Online Concept Balancing in Generation Models
  31. Improving Video Generation with Human Feedback
  32. LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
  33. Learning Cascade Ranking as One Network
  34. Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
  35. MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
  36. MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
  37. Making Transformer Decoders Better Differentiable Indexers
  38. Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization
  39. R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
  40. RecFlow: An Industrial Full Flow Recommendation Dataset
  41. Towards Precise Scaling Laws for Video Diffusion Transformers
  42. VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform
  43. Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
  44. A Multi-modal Modeling Framework for Cold-start Short-video Recommendation
  45. A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System
  46. Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
  47. DialogBench: Evaluating LLMs as Human-like Dialogue Systems
  48. Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
  49. Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
  50. Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
  51. Future Impact Decomposition in Request-level Recommendations
  52. Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
  53. Inverse Learning with Extremely Sparse Feedback for Recommendation
  54. Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
  55. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  56. Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation
  57. Mixed Attention Network for Cross-domain Sequential Recommendation
  58. Modeling User Fatigue for Sequential Recommendation
  59. Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
  60. RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
  61. RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
  62. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
  63. Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
  64. TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
  65. Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation
  66. Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
  67. Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization