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 …

This paper surveys and organizes research works of medical dialog systems, which is an
important yet challenging task. Although these systems have been surveyed in the medical …

The introduction of Large Language Models (LLMs) has advanced data representation and
analysis, bringing significant progress in their use for medical questions and answering …

Efficient steam energy production was essential for reducing energy consumption and
operational costs while enhancing productivity, particularly in industrial settings prone to …

Time series are critical for decision-making in fields like finance and healthcare. Their
importance has driven a recent influx of works passing time series into language models …

This paper introduces Interactive Tables (iTBLS), a dataset of interactive conversations
situated in tables from scientific articles. This dataset is designed to facilitate human-AI …

As large language models become increasingly prevalent in the financial sector, there is a
pressing need for a standardized method to comprehensively assess their performance …

An emerging area of research in situated and multimodal interactive conversations (SIMMC)
includes interactions in scientific papers. Since scientific papers are primarily composed of …

Table Question Answering (TQA) aims at composing an answer to a question based on
tabular data. While prior research has shown that TQA models lack robustness …

In this work, we employ advanced prompt engineering techniques with pre-trained Large
Language Models (LLMs) to enhance knowledge extraction and structuring for Knowledge …