AI Tool for querying natural language on tabular data.
resources for the IBM Airlines Table-Question-Answering Benchmark
This repository contains code and data for the paper "TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering."
[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
Basline: hyunwoongko/kobart Finetuning: AI-Hub Dataset
Table Based Question And Answering System
Official implementation for Plan-of-SQLs or POS: Interpretable LLM-based Table Question Answering; published at Transactions on Machine Learning Research
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