Today, large language models (LLMs) are taught to use new tools by provi...
In the last year alone, a surge of new benchmarks to measure composition...
Deploying large language models (LLMs) is challenging because they are m...
Programmatic Weak Supervision (PWS) aggregates the source votes of multi...
Weak Supervision (WS) techniques allow users to efficiently create large...
Labeling training data has become one of the major roadblocks to using
m...
The goal of multi-label learning (MLL) is to associate a given instance ...
Among multiple ways of interpreting a machine learning model, measuring ...
We propose a simple objective evaluation measure for explanations of a
c...