A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic

Jinghong Li, Wen Gu, Koichi Ota, Shinobu Hasegawa
7/24/2024
cs.CLcs.AIcs.DL

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Abstract

With the exponential growth in the number of papers and the trend of AI research, the use of Generative AI for information retrieval and question-answering has become popular for conducting research surveys. However, novice researchers unfamiliar with a particular field may not significantly improve their efficiency in interacting with Generative AI because they have not developed divergent thinking in that field. This study aims to develop an in-depth Survey Forest Diagram that guides novice researchers in divergent thinking about the research topic by indicating the citation clues among multiple papers, to help expand the survey perspective for novice researchers.

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Cite this paper

@article{li2024survey,
  title  = {A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic},
  author = {Jinghong Li and Wen Gu and Koichi Ota and Shinobu Hasegawa},
  year   = {2024},
  eprint = {2407.17081},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.17081v1}
}

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