most citedReflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 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.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.CL2024★ 1 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…

cs.LG2024★ 5 cited

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141

Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…

cs.CL2024

VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition

Vu Tran, Ha-Thanh Nguyen, Trung Vo +7

In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical. In the context where research in other l…