8 citations · 10 across the 6 of their papers we have counts for
6 papers
Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
Jisoo Jang, Tien-Cuong Bui, Yunjun Choi +1
This paper introduces an Error Correction through Prompt Tuning for NL-to-SQL, leveraging the latest advancements in generative pre-training-based LLMs and RAG. Our work addresses…
VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data
Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li
An end-to-end machine learning (ML) lifecycle consists of many iterative processes, from data preparation and ML model design to model training and then deploying the trained model…
INGREX: An Interactive Explanation Framework for Graph Neural Networks
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li +1
Graph Neural Networks (GNNs) are widely used in many modern applications, necessitating explanations for their decisions. However, the complexity of GNNs makes it difficult to expl…
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation
Tien-Cuong Bui, Van-Duc Le, Wen-syan Li +1
Graph Neural Networks (GNNs) have become increasingly ubiquitous in numerous applications and systems, necessitating explanations of their predictions, especially when making criti…
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
Tien-Cuong Bui, Wen-syan Li, Sang-Kyun Cha
Graph Neural Networks (GNNs) are widely adopted in advanced AI systems due to their capability of representation learning on graph data. Even though GNN explanation is crucial to i…
Real-time Mask Detection on Google Edge TPU
Keondo Park, Wonyoung Jang, Woochul Lee +4
After the COVID-19 outbreak, it has become important to automatically detect whether people are wearing masks in order to reduce risk of front-line workers. In addition, processing…