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: In this work, we compare our proposed method with a data preprocessing approach proposed by Kandpal et al. (2022) which shows that deduplicating the training corpora before pretraining helps pretrain LMs that show stronger robustness against extraction attacks than an LM pretrained under the same circumstances without deduplicating the pretraining corpora. However, we highlight that this approach, which may still be effective at mitigating the overall privacy risks, is not the most suitable approach when considering a realistic scenario of individuals requesting the removal of their information from the implicit parameters of the LMs.

Question: Why is deduplication chosen as one of the baselines?
Deduplicating the pretraining corpora proves to mitigate privacy risks for LMs.