4 datasets found

Formats: JSON

Filter Results
  • DEEP

    Detecting Errors through Ensembling Prompts (DEEP) - an end-to-end large language model framework for detecting factual errors in text summarization.
  • GIST1M

    The dataset used in this paper for testing the performance of the Quick ADC algorithm.
  • SIFT1B

    The SIFT1B dataset is a large-scale image dataset used for evaluating large-scale ANN algorithms.
  • SIFT1M

    The dataset used in this paper for testing the performance of the Quick ADC algorithm.