Nguyen Tran

Evaluation of Mobile Augmented Reality in Orthodontic Training using the Technology Acceptance Model: A Multicentre Quasi-experimental Study

Ziqan Zhou, Norehan Mokhtar, Gururajaprasad Kaggal Lakshmana Rao, Anis Farhan Kamaruddin, Nguyen Tran, Syaidatul Salmah Nurbalqis Saiful, et al.

TL;DR: Findings indicate that dental students showed favourable acceptance of MAR-ORTHO-EDU 2.0, with ease of use and attitude, rather than PU, emerging as the primary drivers of adoption intention in orthodontic training.

Introduction: Mobile Augmented Reality (MAR) has shown potential in orthodontic education, yet evidence within orthodontic training specifically remains scarce. Understanding student acceptance is critical to guiding its curriculum integration. Aim: To evaluate undergraduate dent…Read more

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control

Thien-Qua-T-Nguyen, Chi Hoang, Nguyen Tran, Tri Le, Khanh Truong, Chinh Trong Nguyen

We introduce 5ting, our system for the SemEval2026 Task 8 (MTRAGEval), which evaluates multi-turn Retrieval Augmented Generation (RAG) systems. Multi turn RAG involves context drift, under specification, and hallucination risk. Our system combines BGE-M3 dense retrieval with FAIS…Read more