However, while existing abstractive summarization models are optimized to generate summaries that highly overlap with human references (Paulus et al., 2018), this does not guarantee factually correct summaries, as shown in Figure 1.
maintaining factual correctness of the generated summaries remains a critical yet unsolved problem.