You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Our RoBERTa baseline performs quite well on HotpotQA (77.0 F1), despite processing each paragraph separately, which prohibits inter-paragraph reasoning. We fine-tune a pre-trained model to take a question and several paragraphs and predicts the answer, similar to the single-hop QA model from BIBREF21. We use $ extsc {RoBERTa}_{ extsc {LARGE}}$ BIBREF24 as our pre-trained initialization.
Question: What is the strong baseline that this work outperforms?
Output:
RoBERTa baseline