Langming Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification. | Xin Tong, Weidong Zhang, Jiaang Li, Haibin Chen, Shilei Liu, Langming Liu, Kangtao Lv, Yujin Yuan, Wenbo Su, Bo Zheng |
| 2026 | ACL | 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 |
| 2026 | WWW | 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 |
| 2026 | WSDM | 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 |
| 2025 | CIKM | 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 |
| 2025 | EMNLP | 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 |
| 2025 | KDD | 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 |
| 2025 | KDD | 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 |
| 2025 | KDD | 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 |
| 2024 | CIKM | 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 |
| 2023 | SIGIR | 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 |