5 citations · 6 across the 4 of their papers we have counts for
5 papers
From Images to Tasks: Characterizing Multimodal LLM Interactions in the Wild
Jinyi Ye, Scott Counts, Gaurav Verma +2
Multimodal large language models (LLMs) increasingly integrate vision and text, yet how people use them in natural settings remains underexplored. We seek to answer the question: w…
Deep Learning with Label Noise: A Hierarchical Approach
Li Chen, Ningyuan Huang, Cong Mu +4
Deep neural networks are susceptible to label noise. Existing methods to improve robustness, such as meta-learning and regularization, usually require significant change to the net…
Mental State Classification Using Multi-graph Features
Guodong Chen, Hayden S. Helm, Kate Lytvynets +2
We consider the problem of extracting features from passive, multi-channel electroencephalogram (EEG) devices for downstream inference tasks related to high-level mental states suc…
Inducing a hierarchy for multi-class classification problems
Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj +5
In applications where categorical labels follow a natural hierarchy, classification methods that exploit the label structure often outperform those that do not. Un-fortunately, the…
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Kate Lytvynets +4
Case records on victims of human trafficking are highly sensitive, yet the ability to share such data is critical to evidence-based practice and policy development across governmen…