Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

本项目旨在收集开源的表格智能任务数据集（比如表格问答、表格-文本生成等），将原始数据整理为指令微调格式的数据并微调LLM，进而增强LLM对于表格数据的理解，最终构建出专门面向表格智能任务的大型语言模型。

We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理

Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".

🔍 Table Extraction Tool: A powerful open-source solution combining OCR and computer vision for extracting structured tabular data from images. Ideal for LLM preprocessing, data analysis, and automation. 🚀

Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.

Testing Language Models for Memorization of Tabular Datasets.

Official implementation of Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning (NeurIPS 2024).

No description available

Unofficial, Google‑free reimplementation of MLE‑STAR: a lightweight, local‑friendly multi‑agent ML engineering pipeline that uses OpenAI‑compatible LLMs (OpenRouter/Ollama) and DuckDuckGo search to generate, debug, refine, ensemble, and submit Kaggle‑ready solutions—AutoML for tabular tasks with code generation and iterative refinement.

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data

Experiment on QnA tabular data using LLMs and SQL

LLM-Powered Data Discovery System for Tabular Data

The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.

ArcheType uses LLMs to automatically assign custom labels to your tabular data

Chat with SQL and Tabular Databases using LLM Agents

No description available

Pandas extension, Tabular calculation with LLM, Spark UDF Builder

Official implementation of Tabular Transfer Learning via Prompting LLMs (COLM 2024).

Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"

Self-hosted RAG framework with RBAC, multi-LLM support, and natural language SQL over tabular data

In this we explore into a Question Answering task on structured relational data (Tables) and CSV data

LLM-Assisted Processing of Free-Text Outbreak Reports to Tabular Data

Python library that uses LLMs to perform entity linking over tabular data

Generating tabular data via Large Language Models (LLMs)

[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning on Tabular Data

Create a downsized json file from tabular data, ie [{...},{...}] Optimized for GPT/LLM processing.