研究生自救指南

A fork to add multimodal model training to open-r1

A dataset of complex questions on semi-structured Wikipedia tables

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

大模型算法岗面试题(含答案):常见问题和概念解析 "大模型面试题"、"算法岗面试"、"面试常见问题"、"大模型算法面试"、"大模型应用基础"

Toolkit for linearizing PDFs for LLM datasets/training

A naive implementation of the TableRag Paper

An awesome resume template.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

made RAG pipeline better in table data

Code for paper Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

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。

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

📝 An Awesome Collection of Chinese Legal Dataset and Relevant Resources. 致力于收集全面的中文法律数据源

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)

A modular graph-based Retrieval-Augmented Generation (RAG) system

A distributed, fast open-source graph database featuring horizontal scalability and high availability

整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

[IEEE VIS 2024] LLaVA-Chart: Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

包含了哈工大计算机学院2019级研究生的课件、实验、试题、MOOC

Dataset and Code for our ACL 2024 paper: "Multimodal Table Understanding". We propose the first large-scale Multimodal IFT and Pre-Train Dataset for table understanding and develop a generalist tab…

🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀

Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"

[NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。