@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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T PersLEARN: Research Training through the Lens of Perspective Cultivation
%A Shi, Yu-Zhe
%A Li, Shiqian
%A Niu, Xinyi
%A Xu, Qiao
%A Liu, Jiawen
%A Xu, Yifan
%A Gu, Shiyu
%A He, Bingru
%A Li, Xinyang
%A Zhao, Xinyu
%A Zhao, Zijian
%A Lyu, Yidong
%A Li, Zhen
%A Liu, Sijia
%A Qiu, Lin
%A Ji, Jinhao
%A Ruan, Lecheng
%A Ma, Yuxi
%A Han, Wenjuan
%A Zhu, Yixin
%Y Bollegala, Danushka
%Y Huang, Ruihong
%Y Ritter, Alan
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F shi-etal-2023-perslearn
%X 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.
%R 10.18653/v1/2023.acl-demo.2
%U https://aclanthology.org/2023.acl-demo.2
%U https://doi.org/10.18653/v1/2023.acl-demo.2
%P 11-30
Markdown (Informal)
[PersLEARN: Research Training through the Lens of Perspective Cultivation](https://aclanthology.org/2023.acl-demo.2) (Shi et al., ACL 2023)
ACL
- Yu-Zhe Shi, Shiqian Li, Xinyi Niu, Qiao Xu, Jiawen Liu, Yifan Xu, Shiyu Gu, Bingru He, Xinyang Li, Xinyu Zhao, Zijian Zhao, Yidong Lyu, Zhen Li, Sijia Liu, Lin Qiu, Jinhao Ji, Lecheng Ruan, Yuxi Ma, Wenjuan Han, et al.. 2023. PersLEARN: Research Training through the Lens of Perspective Cultivation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 11–30, Toronto, Canada. Association for Computational Linguistics.