8 citations · 8 across the 5 of their papers we have counts for
5 papers
Toward Human-AI Complementarity Across Diverse Tasks
Yuzheng Xu, Annya Dahmani, Matthew D. Blanchard +13
Human-AI complementarity, the idea that combining human and AI judgments can outperform either alone, offers a promising pathway toward robust oversight of advanced AI systems. How…
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
Eric Modesitt, Ke Yang, Spencer Hulsey +2
Recent advances in language modeling demonstrate the need for high-quality domain-specific training data, especially for tasks that require specialized knowledge. General-purpose m…
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
Eric Modesitt, Haicheng Yin, Williams Huang Wang +1
The task of Electroencephalogram (EEG) analysis is paramount to the development of Brain-Computer Interfaces (BCIs). However, to reach the goal of developing robust, useful BCIs de…
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
Ruiqi Yang, Eric Modesitt
In this study, we demonstrate the application of a hybrid Vision Transformer (ViT) model, pretrained on ImageNet, on an electroencephalogram (EEG) regression task. Despite being or…
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Eric Modesitt, Ruiqi Yang, Qi Liu
Classifying EEG data is integral to the performance of Brain Computer Interfaces (BCI) and their applications. However, external noise often obstructs EEG data due to its biologica…