most citedTeaching Large Language Models Number-Focused Headline Generation With Key Element Rationales

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20251 cited

Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales

Zhen Qian, Xiuzhen Zhang, Xiaofei Xu +1

Number-focused headline generation is a summarization task requiring both high textual quality and precise numerical accuracy, which poses a unique challenge for Large Language Mod…

cs.LG20251 cited

Long-range Brain Graph Transformer

Shuo Yu, Shan Jin, Ming Li +2

Understanding communication and information processing among brain regions of interest (ROIs) is highly dependent on long-range connectivity, which plays a crucial role in facilita…

cs.LG2024

Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction

Wenchao Weng, Mei Wu, Hanyu Jiang +3

In recent years, deep learning has increasingly gained attention in the field of traffic prediction. Existing traffic prediction models often rely on GCNs or attention mechanisms w…

cs.LG2024

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems

Zhen Cai, Tao Tang, Shuo Yu +2

Federated recommender systems have been crucially enhanced through data sharing and continuous model updates, attributed to the pervasive connectivity and distributed computing cap…

cs.LG2024

FairGT: A Fairness-aware Graph Transformer

Renqiang Luo, Huafei Huang, Shuo Yu +2

The design of Graph Transformers (GTs) generally neglects considerations for fairness, resulting in biased outcomes against certain sensitive subgroups. Since GTs encode graph info…