46 citations · 52 across the 2 of their papers we have counts for
3 papers
cs.LG2025
LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
Shipeng Li, Zhiqin Yang, Shikun Li +7
Reinforcement learning with verifiable rewards (RLVR) has become a key technique for enhancing LLMs' reasoning abilities, yet its data inefficiency remains a major bottleneck. To a…
cs.LG2022★ 6 cited
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Gaode Chen, Yijun Su, Xinghua Zhang +6
Data insufficiency problems (i.e., data missing and label scarcity) caused by inadequate services and infrastructures or imbalanced development levels of cities have seriously affe…
cs.IR2021★ 46 cited
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao +2
Sequential recommendation systems alleviate the problem of information overload, and have attracted increasing attention in the literature. Most prior works usually obtain an overa…