Summary of A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic, by Jinghong Li et al.
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic
by Jinghong Li, Wen Gu, Koichi Ota, Shinobu Hasegawa
First submitted to arxiv on: 24 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Digital Libraries (cs.DL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel framework for enhancing novice researchers’ efficiency in interacting with Generative AI for information retrieval and question-answering is proposed. The Survey Forest Diagram, a comprehensive visual guide, facilitates divergent thinking by indicating citation clues among multiple papers, thereby expanding the survey perspective for novice researchers. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine being able to easily find relevant information on a topic you’re researching! This paper helps make that happen by creating a special diagram that shows how different papers are connected. It’s like a map that helps you think about a topic in new and creative ways, making it easier to answer questions or find the information you need. |
Keywords
» Artificial intelligence » Question answering
