Subsequent to the introduction of the task, several methods have been introduced to solve the <cite>EmbodiedQA</cite> task <cite>[5</cite>, 6] , using some combination of reinforcement learning, behavior cloning and hierarchical control. Apart from using the question and images from the environment, these methods also rely on varying degrees of expert supervision such as shortest path demonstrations and subgoal policy sketches. In this work, we evaluate simple question-only baselines that never see the environment and receive no form of expert supervision.