4 papers
ViFA-Council: Multi-Agent LLM Deliberation for Vietnamese Folk Art Generation
Hai-Dang Nguyen, Minh-Phuong Pham, Thao Thi Phuong Dao +3
This paper presents ViFA-Council, a three-stage multi-agent framework that employs multiple large language models (LLMs) to tackle two culturally complex generative tasks: image ou…
Can LLMs Play Ô Ăn Quan Game? A Study of Multi-Step Planning and Decision Making
Sang Quang Nguyen, Kiet Van Nguyen, Vinh-Tiep Nguyen +3
In this paper, we explore the ability of large language models (LLMs) to plan and make decisions through the lens of the traditional Vietnamese board game, Ô Ăn Quan. This game, wh…
Multi-Perspective Data Augmentation for Few-shot Object Detection
Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen +3
Recent few-shot object detection (FSOD) methods have focused on augmenting synthetic samples for novel classes, show promising results to the rise of diffusion models. However, the…
Efficient Finetuning Large Language Models For Vietnamese Chatbot
Vu-Thuan Doan, Quoc-Truong Truong, Duc-Vu Nguyen +2
Large language models (LLMs), such as GPT-4, PaLM, and LLaMa, have been shown to achieve remarkable performance across a variety of natural language tasks. Recent advancements in i…