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DEEP

Detecting Errors through Ensembling Prompts (DEEP) - an end-to-end large language model framework for detecting factual errors in text summarization.

Data and Resources

Cite this as

Alex Chandler, Devesh Surve, Hui Su (2025). Dataset: DEEP. https://doi.org/10.57702/r7g360yt

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2406.13009
Citation
  • https://doi.org/10.48550/arXiv.2403.01797
Author Alex Chandler
More Authors
Devesh Surve
Hui Su
Homepage https://github.com/DEEP-Project/DEEP