You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Our BiDAF model111Our code and interactive demo are available at: allenai.github.io/bi-att-flow/ outperforms all previous approaches on the highly-competitive Stanford Question Answering Dataset (SQuAD) test set leaderboard at the time of submission.With a modification to only the output layer, BiDAF achieves the state-of-the-art results on the CNN/DailyMail cloze test.We also provide an in-depth ablation study of our model on the SQuAD development set, visualize the intermediate feature spaces in our model, and analyse its performance as compared to a more traditional language model for machine comprehension (Rajpurkar et al., 2016).

Question: Does BiDAF show state-of-the-art performance on benchmark dataset?
It is true.