PPaperPicks

Xinyu Lin

National University of Singapore

23 papers at tracked venues · 20 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
  2. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
    WWW 2026 · Xinyu Lin
  3. LLM Personalization: Foundations, Breakthroughs, and Frontiers
  4. Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
  5. RecoWorld: Building Simulated Environments for Agentic Recommender Systems
  6. Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory
  7. Verifiable Reasoning for LLM-based Generative Recommendation
    SIGIR 2026 · Xinyu Lin
  8. Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
  9. EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
  10. Efficient Inference for Large Language Model-based Generative Recommendation
    ICLR 2025 · Xinyu Lin
  11. Generative Recommendation: Towards Personalized Multimodal Content Generation
  12. Heterogeneous User Modeling for LLM-based Recommendation
  13. Incremental Learning for LLM-based Tokenization and Recommendation
  14. Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment
    SIGIR 2025 · Xinyu Lin
  15. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
    SIGIR 2025 · Xinyu Lin
  16. R$2$ec: Towards Large Recommender Models with Reasoning
  17. The 3rd Workshop on Personal Intelligence with Generative AI
  18. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
    SIGKDD 2024 · Xinyu Lin
  19. Data-efficient Fine-tuning for LLM-based Recommendation
    SIGIR 2024 · Xinyu Lin
  20. Large Language Models for Recommendation: Past, Present, and Future
  21. Learnable Item Tokenization for Generative Recommendation
  22. Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
    AAAI 2024 · Xinyu Lin
  23. The 2nd Workshop on Recommendation with Generative Models