5 citations · 7 across the 5 of their papers we have counts for
6 papers
ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations
Quang Hieu Pham, Thuy Duong Nguyen, Tung Pham +2
The capabilities of large language models (LLMs) have been enhanced by training on data that reflects human thought processes, such as the Chain-of-Thought format. However, evidenc…
Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems
Hoang Pham, Thuy-Duong Nguyen, Khac-Hoai Nam Bui
This paper presents a novel approach for unified retrieval-augmented generation (RAG) systems using the recent emerging large language model (LLM) agent concept. Specifically, Agen…
OWLViz: An Open-World Benchmark for Visual Question Answering
Thuy Nguyen, Dang Nguyen, Hoang Nguyen +3
We present a challenging benchmark for the Open WorLd VISual question answering (OWLViz) task. OWLViz presents concise, unambiguous queries that require integrating multiple capabi…
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen, Alessandro Canossa, Jichen Zhu
Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users. In or…
ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
Yonchanok Khaokaew, Kaixin Ji, Thuc Hanh Nguyen +4
This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models…
Towards Better User Requirements: How to Involve Human Participants in XAI Research
Thu Nguyen, Jichen Zhu
Human-Center eXplainable AI (HCXAI) literature identifies the need to address user needs. This paper examines how existing XAI research involves human users in designing and develo…