Grounding Data Science Code Generation with Input-Output Specifications

Grounding Data Science Code Generation with Input-Output Specifications

12 February 2024

Henryk Michalewski

Swarat Chaudhuri

Papers citing "Grounding Data Science Code Generation with Input-Output Specifications"

6 / 6 papers shown

Title
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 157 576 0 06 Apr 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction Martin Josifoski Marija Sakota Maxime Peyrard Robert West SyDa 54 76 0 07 Mar 2023
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play Qi Liu Zihuiwen Ye Tao Yu Phil Blunsom Linfeng Song 31 10 0 21 Oct 2022
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 107 133 0 22 May 2022
On The Ingredients of an Effective Zero-shot Semantic Parser Pengcheng Yin John Wieting Avirup Sil Graham Neubig 37 13 0 15 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021