50 citations · 50 across the 4 of their papers we have counts for
4 papers
Making Language Model a Hierarchical Classifier
Yihong Wang, Zhonglin Jiang, Ningyuan Xi +8
Decoder-only language models, such as GPT and LLaMA, generally decode on the last layer. Motivated by human's hierarchical thinking capability, we propose that a hierarchical decod…
HEPHA: A Mixed-Initiative Image Labeling Tool for Specialized Domains
Shiyuan Zhou, Bingxuan Li, Xiyuan Chen +4
Image labeling is an important task for training computer vision models. In specialized domains, such as healthcare, it is expensive and challenging to recruit specialists for imag…
Refining Network Alignment to Improve Matched Neighborhood Consistency
Mark Heimann, Xiyuan Chen, Fatemeh Vahedian +1
Network alignment, or the task of finding meaningful node correspondences between nodes in different graphs, is an important graph mining task with many scientific and industrial a…
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Xiyuan Chen, Mark Heimann, Fatemeh Vahedian +1
Network alignment, the process of finding correspondences between nodes in different graphs, has many scientific and industrial applications. Existing unsupervised network alignmen…