6 citations · 16 across the 23 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
Yaning Jia, Chunhui Zhang, Xingjian Diao +4
Curriculum learning (CL) - ordering training data from easy to hard - has become a popular strategy for improving reasoning in large language models (LLMs). Yet prior work employs…
cs.LG2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng, Ziyi Zhou, Bowen Zhang +7
In the landscape of spatio-temporal data analytics, effective trajectory representation learning is paramount. To bridge the gap of learning accurate representations with efficient…
cs.LG2024★ 1 cited
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
Ming Cheng, Bowen Zhang, Ziyu Wang +4
Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make…