Compositional Questions Do Not Necessitate Multi-hop Reasoning
Table 4: We train on HotpotQA using standard distractors (Original) or using adversarial distractors (Adversarial). The model is then tested on the original distractors, adversarial distractors, or adversarial distractors with filtering by entity type (+ Type).
['Evaluation Data', 'Training Data Original', 'Training Data Adversarial']
However, when the same procedure is done on the training set and the model is re-trained, the accuracy increases to 60.10 F1 on the adversarial distractors.