We have 3 of 31 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A multifaceted methodology for Evaluating AI models as scientific Research Assistants (EAIRA) developed at Argonne National Laboratory is described, designed to be generalizable to a wide range of scientific domains.
A large-scale benchmark with 60\sim 90× more queries than prior work, built on 3× more databases, an automated pipeline that can execute existing methods without manual intervention, and multi-dimensional, fine-grained evaluation metrics for comprehensive assessment.
A large-scale benchmark with 60\sim 90× more queries than prior work, built on 3× more databases, an automated pipeline that can execute existing methods without manual intervention, and multi-dimensional, fine-grained evaluation metrics for comprehensive assessment.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
