All Stories

  1. NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

    Article • April 2026, ACM (Association for Computing Machinery)

    Langming Liu

  2. Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model

    Article • February 2026, ACM (Association for Computing Machinery)

    Langming Liu

  3. ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph

    Article • November 2025, ACM (Association for Computing Machinery)

    Langming Liu

  4. UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering

    Article • August 2025, ACM (Association for Computing Machinery)

    Langming Liu

  5. Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems

    Article • August 2025, ACM (Association for Computing Machinery)

    Langming Liu

  6. ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models

    Article • August 2025, ACM (Association for Computing Machinery)

    Langming Liu

  7. Efficient and Robust Regularized Federated Recommendation

    Article • October 2024, ACM (Association for Computing Machinery)

    Langming Liu, Qing Li

  8. LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

    Article • July 2023, ACM (Association for Computing Machinery)

    Qing Li, Langming Liu