Yujin Yuan

According to our database, Yujin Yuan authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• 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

COMI: Coarse-to-fine Context Compression via Marginal Information Gain.

Jiwei Tang, Shilei Liu, Zhicheng Zhang, Yujin Yuan, Libin Zheng, Wenbo Su, Bo Zheng

CoRR, February, 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

RecGPT Technical Report.

Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Mao Zhang, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu Yang, Yi Hu, Yinnan Song, Yuchen Li, Yujie Luo, Yujin Yuan, Yuliang Yan, Zhengyang Wang, Zhibo Xiao, Zhixin Ma, Zile Zhou, Ziqi Zhang

CoRR, July, 2025

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng

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

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

2019

Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction.

Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

A Quality and Distance Guided Metaheuristic Algorithm for Vertex Separation Problem.

Junwen Ding, Taoqing Zhou, Zhipeng Lü, Yujin Yuan

IEEE Access, 2017

The Y_dcd_zju Slot Filling System for TAC KBP 2017.

Siliang Tang, Yujin Yuan, Ruowei Jiang, Jinjian Zhang, Fei Wu, Yueting Zhuang

Proceedings of the 2017 Text Analysis Conference, 2017