4 papers
TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning
Seongah Kim, Dinh Phu Tran, Hyeontaek Hwang +3
Audio-visual understanding requires effective alignment between heterogeneous modalities, yet cross-modal correspondence remains challenging when temporally aligned audio and visua…
Auto-Prompting with Retrieval Guidance for Frame Detection in Logistics
Do Minh Duc, Quan Xuan Truong, Nguyen Tat Dat +1
Prompt engineering plays a critical role in adapting large language models (LLMs) to complex reasoning and labeling tasks without the need for extensive fine-tuning. In this paper,…
SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
Xuan-Truong Quan, Xuan-Son Quan, Duc Do Minh +1
Knowledge graph embedding (KGE) has become a fundamental technique for representation learning on multi-relational data. Many seminal models, such as TransE, operate in an unbounde…
Using Large Language Models for education managements in Vietnamese with low resources
Duc Do Minh, Vinh Nguyen Van, Thang Dam Cong
Large language models (LLMs), such as GPT-4, Gemini 1.5, Claude 3.5 Sonnet, and Llama3, have demonstrated significant advancements in various NLP tasks since the release of ChatGPT…