AAAI 2024technical7 citations
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 Sheth
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.
BibTeX
@article{Roy_Khandelwal_Vera_Surana_Heckman_Sheth_2024, title={GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews}, volume={38}, url={https://ojs.aaai.org/index.php/AAAI/article/view/30577}, DOI={10.1609/aaai.v38i21.30577}, abstractNote={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.}, number={21}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Roy, Kaushik and Khandelwal, Vedant and Vera, Valerie and Surana, Harshul and Heckman, Heather and Sheth, Amit}, year={2024}, month={Mar.}, pages={23823-23825} }