@inproceedings{shi-etal-2023-perslearn,
    title = "{P}ers{LEARN}: Research Training through the Lens of Perspective Cultivation",
    author = "Shi, Yu-Zhe  and
      Li, Shiqian  and
      Niu, Xinyi  and
      Xu, Qiao  and
      Liu, Jiawen  and
      Xu, Yifan  and
      Gu, Shiyu  and
      He, Bingru  and
      Li, Xinyang  and
      Zhao, Xinyu  and
      Zhao, Zijian  and
      Lyu, Yidong  and
      Li, Zhen  and
      Liu, Sijia  and
      Qiu, Lin  and
      Ji, Jinhao  and
      Ruan, Lecheng  and
      Ma, Yuxi  and
      Han, Wenjuan  and
      Zhu, Yixin",
    editor = "Bollegala, Danushka  and
      Huang, Ruihong  and
      Ritter, Alan",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-demo.2",
    doi = "10.18653/v1/2023.acl-demo.2",
    pages = "11--30",
    abstract = "Scientific research is inherently shaped by its authors{'} perspectives, influenced by various factorssuch as their personality, community, or society. Junior researchers often face challenges in identifying the perspectives reflected in the existing literature and struggle to develop their own viewpoints. In response to this issue, we introduce PersLEARN , a tool designed to facilitate the cultivation of scientific perspectives, starting from a basic seed idea and progressing to a well-articulated framework. By interacting with a prompt-based model, researchers can develop their perspectives explicitly. Our humanstudy reveals that scientific perspectives developed by students using PersLEARN exhibit a superior level of logical coherence and depth compared to those that did not. Furthermore, our pipeline outperforms baseline approaches across multiple domains of literature from various perspectives. These results suggest that PersLEARN could help foster a greater appreciation of diversity in scientific perspectives as an essential component of research training.",
}

Scientific research is inherently shaped by its authors{'} perspectives, influenced by various factorssuch as their personality, community, or society. Junior researchers often face challenges in identifying the perspectives reflected in the existing literature and struggle to develop their own viewpoints. In response to this issue, we introduce PersLEARN , a tool designed to facilitate the cultivation of scientific perspectives, starting from a basic seed idea and progressing to a well-articulated framework. By interacting with a prompt-based model, researchers can develop their perspectives explicitly. Our humanstudy reveals that scientific perspectives developed by students using PersLEARN exhibit a superior level of logical coherence and depth compared to those that did not. Furthermore, our pipeline outperforms baseline approaches across multiple domains of literature from various perspectives. These results suggest that PersLEARN could help foster a greater appreciation of diversity in scientific perspectives as an essential component of research training.
Shi, Yu-Zhe Li, Shiqian Niu, Xinyi Xu, Qiao Liu, Jiawen Xu, Yifan Gu, Shiyu He, Bingru Li, Xinyang Zhao, Xinyu Zhao, Zijian Lyu, Yidong Li, Zhen Liu, Sijia Qiu, Lin Ji, Jinhao Ruan, Lecheng Ma, Yuxi Han, Wenjuan Zhu, Yixin
PersLEARN: Research Training through the Lens of Perspective Cultivation