Large language model for table processing: A survey

W Lu, J Zhang, J Fan, Z Fu, Y Chen, X Du - Frontiers of Computer Science, 2025 - Springer
Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet manipulations, Web table …

Tap4llm: Table provider on sampling, augmenting, and packing semi-structured data for large language model reasoning

Y Sui, J Zou, M Zhou, X He, L Du, S Han… - arxiv preprint arxiv …, 2023 - arxiv.org
Table reasoning has shown remarkable progress in a wide range of table-based tasks.
These challenging tasks require reasoning over both free-form natural language (NL) …

Alter: Augmentation for large-table-based reasoning

H Zhang, Y Ma, H Yang - arxiv preprint arxiv:2407.03061, 2024 - arxiv.org
While extensive research has explored the use of large language models (LLMs) for table-
based reasoning, most approaches struggle with scalability when applied to large tables. To …

On the Use of Large Language Models for Table Tasks

Y Dong, M Oyamada, C **ao, H Zhang - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
The proliferation of large language models (LLMs) has catalyzed a diverse array of
applications. This tutorial delves into the application of LLMs for tabular data and targets a …