5 papers
Automated Tree Knowledge Graph Construction using Ontology Expansion and Retrieval from Vietnamese History Textbooks
Ket Doan Nguyen, Minh N. H. Nguyen
Hierarchical Knowledge graph (KG)-based retrieval augmented generation (RAG) has emerged as a powerful approach for supporting large language models with structured knowledge. Howe…
rEDMRec: Distilling Large Language Model Reasoning into an Editable Experience Memory for Recommendation
Minh Hoang Nguyen, Tung Le, Huy Tien Nguyen
Large language models can improve recommendation quality by reasoning explicitly over user history and candidate items - for example, extracting a user's preferences or explaining…
ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark
Minh Hoang Nguyen
Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource. Building such a resource is challenging for three…
From Prompting to Preference Optimization: A Comparative Study of LLM-based Automated Essay Scoring
Minh Hoang Nguyen, Vu Hoang Pham, Xuan Thanh Huynh +5
Large language models (LLMs) have recently reshaped Automated Essay Scoring (AES), yet prior studies typically examine individual techniques in isolation, limiting understanding of…
Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
Minh Hoang Nguyen, Thuat Thien Nguyen, Minh Nhat Ta +2
News recommendation systems play a critical role in alleviating information overload by delivering personalized content. A key challenge lies in jointly modeling multi-view represe…