5 citations · 10 across the 8 of their papers we have counts for
8 papers
Investigating Automatic Scoring and Feedback using Large Language Models
Gloria Ashiya Katuka, Alexander Gain, Yen-Yun Yu
Automatic grading and feedback have been long studied using traditional machine learning and deep learning techniques using language models. With the recent accessibility to high p…
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
Zhuoyuan Mao, Yen Yu
This article introduces contrastive alignment instructions (AlignInstruct) to address two challenges in machine translation (MT) on large language models (LLMs). One is the expansi…
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Junxiang Huang, Alexander Huang, Beatriz C. Guerra +1
While much of recent study in semi-supervised learning (SSL) has achieved strong performance on single-label classification problems, an equally important yet underexplored problem…
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention
Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu +4
Deep Convolutional Neural Networks (CNNs) have been repeatedly proven to perform well on image classification tasks. Object detection methods, however, are still in need of signifi…
Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu
Automatic text recognition from ancient handwritten record images is an important problem in the genealogy domain. However, critical challenges such as varying noise conditions, va…
Image captioning with weakly-supervised attention penalty
Jiayun Li, Mohammad K. Ebrahimpour, Azadeh Moghtaderi +1
Stories are essential for genealogy research since they can help build emotional connections with people. A lot of family stories are reserved in historical photos and albums. Rece…
Clustering With Pairwise Relationships: A Generative Approach
Yen-Yun Yu, Shireen Y. Elhabian, Ross T. Whitaker
Semi-supervised learning (SSL) has become important in current data analysis applications, where the amount of unlabeled data is growing exponentially and user input remains limite…
Hierarchical Graphical Models for Multigroup Shape Analysis using Expectation Maximization with Sampling in Kendall's Shape Space
Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate
This paper proposes a novel framework for multi-group shape analysis relying on a hierarchical graphical statistical model on shapes within a population.The framework represents in…