STA: Self-controlled Text Augmentation for Improving Text Classifications

24 February 2023

Papers citing "STA: Self-controlled Text Augmentation for Improving Text Classifications"

10 / 10 papers shown

Title
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT S. Ubani S. Polat Rodney D. Nielsen 81 51 0 27 Apr 2023
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics Huan Yee Koh Jiaxin Ju Ming Liu Shirui Pan 62 120 0 03 Jul 2022
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
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 167 101 0 19 Sep 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization Mengyao Cao Yue Dong Jackie C.K. Cheung HILM 170 144 0 30 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 206 315 0 04 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 391 2,216 0 03 Sep 2019