9 citations · 27 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
Fast Training of NMT Model with Data Sorting
Daniela N. Rim, Kimera Richard, Heeyoul Choi
The Transformer model has revolutionized Natural Language Processing tasks such as Neural Machine Translation, and many efforts have been made to study the Transformer architecture…
Building a Parallel Corpus and Training Translation Models Between Luganda and English
Richard Kimera, Daniela N. Rim, Heeyoul Choi
Neural machine translation (NMT) has achieved great successes with large datasets, so NMT is more premised on high-resource languages. This continuously underpins the low resource…
Adversarial Training with Contrastive Learning in NLP
Daniela N. Rim, DongNyeong Heo, Heeyoul Choi
For years, adversarial training has been extensively studied in natural language processing (NLP) settings. The main goal is to make models robust so that similar inputs derive in…
Deep Neural Networks and End-to-End Learning for Audio Compression
Daniela N. Rim, Inseon Jang, Heeyoul Choi
Recent achievements in end-to-end deep learning have encouraged the exploration of tasks dealing with highly structured data with unified deep network models. Having such models fo…
A simple electronic device to experiment with the Hopf bifurcation
Daniela N. Rim, Pablo Cremades, Pablo Kaluza
We present a simple low-cost electronic circuit that is able to show two different dynamical regimens with oscillations of voltages and with constant values of them. This device is…