Large Language Models (LLMs) are frequently used for multi-faceted language generation
and evaluation tasks that involve satisfying intricate user constraints or taking into account …

A central notion in practical and theoretical machine learning is that of a weak learner,
classifiers that achieve better-than-random performance (on any given distribution over …

Table reasoning, which aims to generate the corresponding answer to the question
following the user requirement according to the provided table, and optionally a text …

Large language models (LLMs) have been applied to a wide range of data-to-text
generation tasks, including tables, graphs, and time-series numerical data-to-text settings …