RefCheckAI
AI Reference Checker
AI Reference Checker automates citation validation for AI-generated content and academic research. It uses a custom model trained on a reference dataset to compare citation statements to source texts. This tool accelerates verification, improves accuracy, and provides contextual snippets for deeper understanding, transforming manual processes into an efficient automated workflow.
Key Features
- Classifies citations into four categories: supported, partially supported, not supported, and uncertain
- Provides semantic claim verification and extracts supporting evidence
- Reduces citation checking time from hours to minutes
- Improves research accuracy, quality, and reproducibility
- Easy-to-use web app interface
Resources
PDF Docs
Get Involved: Early Access
Ready to put the AI Citation Checker through its paces?
Our AI Citation Checker will be made available for early testing. We’re looking for researchers and academics to try the tool and share feedback. Early users will help shape the product and receive priority support.
Register your interest for early access using the form below:
We appreciate your interest in helping us build a more robust tool for the research community!
Team
The AI Reference Checker team consists of researchers and developers eager to improving the quality and efficiency of academic research.
Acknowledgements
We would like to thank the National Computational Infrastructure (NCI) for hosting the Generative AI CodeFest Australia together with NVIDIA, OpenACC Organization and Sustainable Metal Cloud (SMC), and a special thanks to our two expert mentors during this event:
- Hariharan Suresh (NVIDIA)
- Zhuochen Wu (NCI)
This program has been supported by the Australian Government Department of Industry, Science and Resources through the National AI Centre.
The project is supported by the Sydney Informatics Hub at the University of Sydney.
Contact
Early adopters and interested contributors, please email sebastian.haan@sydney.edu.au
Data and Model License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), free for research and non-commercial use with attribution.