19 citations · 19 across the 2 of their papers we have counts for
3 papers
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
Pham Khanh Chi, Quoc Phong Dao, Thuat Nguyen +3
Knowledge distillation is a key technique for compressing large language models (LLMs), but most existing methods align representations at fixed layers or token-level outputs, igno…
VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
Thu Phuong Nguyen, Duc M. Nguyen, Hyotaek Jeon +4
Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but it remains a significant challenge due…
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai +5
The driving factors behind the development of large language models (LLMs) with impressive learning capabilities are their colossal model sizes and extensive training datasets. Alo…