6 citations · 10 across the 11 of their papers we have counts for
11 papers
Sentence Curve Language Models
DongNyeong Heo, Taehwan Kim, Heeyoul Choi
Language models (LMs) are a central component of modern AI systems, and diffusion language models (DLMs) have recently emerged as a competitive alternative. Both paradigms rely on…
Convolutional Lie Operator for Sentence Classification
Daniela N. Rim, Heeyoul Choi
Traditional Convolutional Neural Networks have been successful in capturing local, position-invariant features in text, but their capacity to model complex transformation within la…
Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management
DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi
An internet network service provider manages its network with multiple objectives, such as high quality of service (QoS) and minimum computing resource usage. To achieve these obje…
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays
Harim Kim, Yuhan Wang, Minkyu Ahn +3
Unsupervised anomaly detection (UAD) in medical imaging is crucial for identifying pathological abnormalities without requiring extensive labeled data. However, existing diffusion-…
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda
Richard Kimera, Dongnyeong Heo, Daniela N. Rim +1
In this paper,we explore the application of Back translation (BT) as a semi-supervised technique to enhance Neural Machine Translation(NMT) models for the English-Luganda language…
Generalized Probabilistic Attention Mechanism in Transformers
DongNyeong Heo, Heeyoul Choi
The Transformer architecture has become widely adopted due to its demonstrated success, attributed to the attention mechanism at its core. Despite these successes, the attention me…
N-gram Prediction and Word Difference Representations for Language Modeling
DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi
Causal language modeling (CLM) serves as the foundational framework underpinning remarkable successes of recent large language models (LLMs). Despite its success, the training appr…
Empirical Study of Symmetrical Reasoning in Conversational Chatbots
Daniela N. Rim, Heeyoul Choi
This work explores the capability of conversational chatbots powered by large language models (LLMs), to understand and characterize predicate symmetry, a cognitive linguistic func…
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation
Tsun-An Hsieh, Heeyoul Choi, Minje Kim
Recent studies highlight the potential of textual modalities in conditioning the speech separation model's inference process. However, regularization-based methods remain underexpl…
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation
Richard Kimera, Yun-Seon Kim, Heeyoul Choi
This paper addresses the ethical challenges of Artificial Intelligence in Neural Machine Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness and…
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda
Richard Kimera, Daniela N. Rim, Joseph Kirabira +2
Depression is a global burden and one of the most challenging mental health conditions to control. Experts can detect its severity early using the Beck Depression Inventory (BDI) q…