Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
AbstractAnswering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer.However, state-of-the-art models in grounded question answering often do not explicitly perform decomposition, leading to difficulties in generalization to out-of-distribution examples.In this