Large language model for table processing: A survey
Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet calculations, and generating …
essential in daily activities like database queries, spreadsheet calculations, and generating …
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning
Abstract Long-form Table Question Answering (LFTQA) requires systems to generate
paragraph long and complex answers to questions over tabular data. While Large language …
paragraph long and complex answers to questions over tabular data. While Large language …
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Generating accurate SQL according to natural language questions (text-to-SQL) is a long-
standing problem since it is challenging in user question understanding, database schema …
standing problem since it is challenging in user question understanding, database schema …
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Recent advancements in Large Language Models (LLMs) have markedly enhanced the
interpretation and processing of tabular data, introducing previously unimaginable …
interpretation and processing of tabular data, introducing previously unimaginable …
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
Current Large Language Models (LLMs) exhibit limited ability to understand table structures
and to apply precise numerical reasoning, which is crucial for tasks such as table question …
and to apply precise numerical reasoning, which is crucial for tasks such as table question …
TARGET: Benchmarking Table Retrieval for Generative Tasks
X Ji, A Parameswaran, M Hulsebos - NeurIPS 2024 Third Table … - openreview.net
The data landscape is rich with structured data, often of high value to organizations, that
drive important applications in data analysis and machine learning. Recent progress in …
drive important applications in data analysis and machine learning. Recent progress in …