Mingyu Zheng

Tabular-LLM. 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。

Awesome-Tabular-LLMs. 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

Table-LLaVA. 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 tabular MLLM named Table-LLaVA.

IM-TQA. Dataset and Code for ACL 2023 paper: "IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures". We proposed a new TQA problem which aims at real application scenarios, together with a supporting dataset and a baseline method.

Compilers-Principles-exercises-in-Cpp-. 编译原理实践作业，针对C-Minus语言的扫描器，语法分析器，语义分析器实现。

TaCo. Code for the Finding of EMNLP 2023 "Chain-of-Thought Reasoning in Tabular Language Models"

TableDreamer. Code and Data for the finding of ACL 2025: "TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning"