most citedZeFaV: Boosting Large Language Models for Zero-shot Fact Verification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SE2025

Finetuning LLMs for Automatic Form Interaction on Web-Browser in Selenium Testing Framework

Nguyen-Khang Le, Hiep Nguyen, Ngoc-Minh Nguyen +5

Automated web application testing is a critical component of modern software development, with frameworks like Selenium widely adopted for validating functionality through browser…

cs.CL2025

VLSP 2025 MLQA-TSR Challenge: Vietnamese Multimodal Legal Question Answering on Traffic Sign Regulation

Son T. Luu, Trung Vo, Hiep Nguyen +5

This paper presents the VLSP 2025 MLQA-TSR - the multimodal legal question answering on traffic sign regulation shared task at VLSP 2025. VLSP 2025 MLQA-TSR comprises two subtasks:…

cs.CV2025

AS400-DET: Detection using Deep Learning Model for IBM i (AS/400)

Thanh Tran, Son T. Luu, Quan Bui +1

This paper proposes a method for automatic GUI component detection for the IBM i system (formerly and still more commonly known as AS/400). We introduce a human-annotated dataset c…

cs.SE2025

Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs

Nguyen-Khang Le, Quan Minh Bui, Minh Ngoc Nguyen +5

Web applications are critical to modern software ecosystems, yet ensuring their reliability remains challenging due to the complexity and dynamic nature of web interfaces. Recent a…

cs.CL20241 cited

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification

Son T. Luu, Hiep Nguyen, Trung Vo +1

In this paper, we propose ZeFaV - a zero-shot based fact-checking verification framework to enhance the performance on fact verification task of large language models by leveraging…