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. https://www.hongmacro.com/product-category/perfumes/
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
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