-
Shanghai University of Finance and Economics
- Shanghai
- https://scholar.google.com/citations?user=YyoelDMAAAAJ&hl=en
Stars
A MULTI-GENERATOR ENSEMBLE FRAMEWORK FOR NATURAL LANGUAGE TO SQL
Official repository for paper "TableBench: A Comprehensive and Complex Benchmark for Table Question Answering"
A flexible and efficient training framework for large-scale alignment tasks
Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
Through the command line, the user can easily access all ~125 LeetCode SQL/Database questions and automatically generate the tables in db-fiddle.com.
Answers for all 153 database questions on LeetCode [Update on 2021/04/03]
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
LeetCode database hard Level problems and solutions with Hive SQL.
Use ChatGPT to generate SQL and perform execution. Optimization and error correction of SQL is also possible.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
Introduction page of a challenging text-to-SQL dataset: KaggleDBQA
[ACL 2023 Findings] CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Large Language Model Text Generation Inference
TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
chatglm 6b finetuning and alpaca finetuning
Code and documentation to train Stanford's Alpaca models, and generate the data.
A framework for large scale recommendation algorithms.
Code & data for our EMNLP2022 paper "SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser"
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit