5 papers
IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding Prediction
Tien-Cuong Bui, Injae Chung, Wonjun Lee +2
Predicting immunoglobulin-antigen (Ig-Ag) binding remains a significant challenge due to the paucity of experimentally-resolved complexes and the limited accuracy of de novo Ig str…
Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions
Tien Cuong Bui
Graph Neural Networks (GNNs) have become a powerful tool for modeling and analyzing data with graph structures. The wide adoption in numerous applications underscores the value of…
RAG-IT: Retrieval-Augmented Instruction Tuning for Automated Financial Analysis -- A Case Study for the Semiconductor Sector
Hai-Thien To, Tien-Cuong Bui, Van-Duc Le
Financial analysis relies heavily on the interpretation of earnings reports to assess company performance and guide decision-making. Traditional methods for generating such analyze…
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…
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…