We compare against state-of-the-art models for both | |
explicit and implicit knowledge storage on three popular Open-QA benchmarks, and find that we outperform all previous | |
methods by a significant margin (4-16% absolute accuracy), while also providing qualitative benefits such as | |
interpretability and modularity. |