Search Results for author:
Found 2 papers, 2 papers with code
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Currently, most machine learning models are trained by centralized teams and are rarely updated.
Evaluating the Factual Consistency of Large Language Models Through News Summarization
To generate summaries that are factually inconsistent, we generate summaries from a suite of summarization models that we have manually annotated as factually inconsistent.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
