The article discusses the use of Large Language Models (LLMs) for table processing. It covers traditional areas like table question answering and fact verification, as well as new aspects such as table manipulation and advanced data analysis. The article also addresses the unique challenges of table processing tasks, such as structured data, complex reasoning, and the use of external tools. It highlights recent developments in LLM usage, specifically instruction-tuning, prompting, and agent-based approaches. Challenges such as private deployment, efficient inference, and the development of extensive benchmarks for table manipulation and advanced data analysis are also discussed.
Publication date: 9 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.05121
