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: We compare our framework with the following baselines. First, to show the characteristics of each benchmark, we use the random or the most frequent label as Random and Majority baseline, respectively. RoBERTa-L and GPT2-L is the performance of each PLM without any finetuning. Also, as the baseline for the unsupervised learning model using KGs, we report the performance of Self-talk (Shwartz et al., 2020), COMET-DynaGen (Bosselut and Choi, 2019), SMLM (Banerjee and Baral, 2020) as presented in original papers.

Question: What is Majority in baselines?
Majority is the results when selecting with the most frequent label as an answer.