[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
-
Updated
Sep 17, 2023 - Python
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
Fine Tuning is a cost-efficient way of preparing a model for specialized tasks. Fine-tuning reduces required training time as well as training datasets. We have open-source pre-trained models. Hence, we do not need to perform full training every time we create a model.
LLM evaluation framework
Project proposal for solving the "Talk to your data" task at hackathon "HackYeah 2023"
Polish translation of spider dataset.
Nesse repositório, eu sumarizo os casos de uso de chatGPT e LangChain que tenho estudado
Text2SQL project comparing different LLM models
Python 3 reimplementation of SyntaxSQLNet, including several improvements
Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"
Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260
NLU: domain-intent-slot; text2SQL
🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
Add a description, image, and links to the text2sql topic page so that developers can more easily learn about it.
To associate your repository with the text2sql topic, visit your repo's landing page and select "manage topics."