Recent breakthroughs in large language modeling have facilitated rigorous exploration of
their application in diverse tasks related to tabular data modeling, such as prediction, tabular …

Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet manipulations, Web table …

Large language models (LLMs) are leading significant progress in code generation. Beyond
one-pass code generation, recent works further integrate unit tests and program verifiers into …

Recent text and image foundation models are incredibly impressive, and these models are
attracting an ever-increasing portion of research resources. In this position piece we aim to …

Industries such as finance, meteorology, and energy generate vast amounts of data daily.
Efficiently managing, processing, and displaying this data requires specialized expertise …

Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …

Tables contain a significant portion of the world's structured information. The ability to
efficiently and accurately understand, process, reason about, analyze, and generate tabular …

Large language models (LLMs), even when specifically trained to process long input
contexts, struggle to capture relevant information located in the middle of their input. This …

Generative AI tools can help users with many tasks. One such task is data analysis, which is
notoriously challenging for non-expert end-users due to its expertise requirements, and …

Data annotation and synthesis generally refers to the labeling or generating of raw data with
relevant information, which could be used for improving the efficacy of machine learning …