2 papers
cs.LG2024
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese
Khang T. Doan, Bao G. Huynh, Dung T. Hoang +5
In this report, we introduce Vintern-1B, a reliable 1-billion-parameters multimodal large language model (MLLM) for Vietnamese language tasks. By integrating the Qwen2-0.5B-Instruc…
cs.LG2024
TabularFM: An Open Framework For Tabular Foundational Models
Quan M. Tran, Suong N. Hoang, Lam M. Nguyen +2
Foundational models (FMs), pretrained on extensive datasets using self-supervised techniques, are capable of learning generalized patterns from large amounts of data. This reduces…