Langming Liu

According to our database, Langming Liu authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction.

Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng

CoRR, March, 2026

Expert Divergence Learning for MoE-based Language Models.

Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng

CoRR, March, 2026

PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning.

Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng

CoRR, February, 2026

Read As Human: Compressing Context via Parallelizable Close Reading and Skimming.

Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng

CoRR, February, 2026

Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model.

Kangtao Lv, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Shilei Liu, Yongwei Wang, Yujin Yuan, Wenbo Su, Bo Zheng

CoRR, February, 2026

CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling.

Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng

CoRR, February, 2026

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

Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao

Proceedings of the ACM Web Conference 2026, 2026

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

Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

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

Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Zhao-Xiang Zhang

CoRR, June, 2025

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

Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng

CoRR, March, 2025

Analysis of regularized federated learning.

Langming Liu, Ding-Xuan Zhou

Neurocomputing, 2025

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

Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models.

Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

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

Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023