Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Table 2: Performance on test sets for various datasets
['[BOLD] Model', '[BOLD] Quasar-T EM', '[BOLD] Quasar-T F1', '[BOLD] SearchQA EM', '[BOLD] SearchQA F1', '[BOLD] Triviaqa-unfiltered EM', '[BOLD] Triviaqa-unfiltered F1', '[BOLD] Squad-open EM', '[BOLD] Squad-open F1']
Performance on benchmark datasets. One of the main observation is that combining multi-step-reasoner with the base Dr. QA reader always leads to improved performance. We also perform competitively to most baselines across all datasets.