In Module 1, we encode all of the questions, also by Skip-Thought Vectors, from the training and validation sets of <cite>VQA</cite> (<cite>Antol et al. 2015</cite>) dataset as a 4800 by 186027 dimension basic question (BQ) matrix, and then solve the LASSO optimization problem (Huang, Alfadly, and Ghanem 2017) , with MQ, to find the top 3 similar BQ of MQ.