ML Anthology

GEAR-up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth
AAAI 2024 pp. 23823-23825
doi:10.1609/AAAI.V38I21.30577 /aaai/2024/roy2024aaai-gear/

Abstract

This paper addresses the time-intensive nature of systematic reviews (SRs) and proposes a solution leveraging advancements in Generative AI (e.g., ChatGPT) and external knowledge augmentation (e.g., Retrieval-Augmented Generation). The proposed system, GEAR-Up, automates query development and translation in SRs, enhancing efficiency by enriching user queries with context from language models and knowledge graphs. Collaborating with librarians, qualitative evaluations demonstrate improved reproducibility and search strategy quality. Access the demo at https://youtu.be/zMdP56GJ9mU.

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Cite

Text

Roy et al. "GEAR-up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30577

Markdown

[Roy et al. "GEAR-up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/roy2024aaai-gear/) doi:10.1609/AAAI.V38I21.30577

BibTeX

@inproceedings{roy2024aaai-gear,
  title     = {{GEAR-up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews}},
  author    = {Roy, Kaushik and Khandelwal, Vedant and Vera, Valerie and Surana, Harshul and Heckman, Heather and Sheth, Amit P.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23823-23825},
  doi       = {10.1609/AAAI.V38I21.30577},
  url       = {https://mlanthology.org/aaai/2024/roy2024aaai-gear/}
}