Generative Data Augmentation for Commonsense Reasoning

24 April 2020

Yejin Choi

Papers citing "Generative Data Augmentation for Commonsense Reasoning"

21 / 21 papers shown

Title
Exploring Data Augmentation Methods on Social Media Corpora Isabel Garcia Pietri Kineret Stanley 23 0 0 03 Mar 2023
How to choose "Good" Samples for Text Data Augmentation Xiaotian Lin Nankai Lin Yingwen Fu Ziyu Yang Shengyi Jiang 28 2 0 02 Feb 2023
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 31 1 0 20 Dec 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek F. Abdelzaher Jiawei Han VLM 39 46 0 06 Nov 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 19 67 0 24 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification A. Edwards Asahi Ushio Jose Camacho-Collados Hélène de Ribaupierre Alun D. Preece VLM 11 23 0 17 Nov 2021
Automatic Knowledge Augmentation for Generative Commonsense Reasoning Jaehyung Seo Chanjun Park Sugyeong Eo Hyeonseok Moon Heuiseok Lim ReLM LRM 6 3 0 30 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models Only Jesse Michael Han Igor Babuschkin Harrison Edwards Arvind Neelakantan Tao Xu ... Alex Ray Pranav Shyam Aditya A. Ramesh Alec Radford Ilya Sutskever 34 36 0 11 Oct 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 17 51 0 11 Jun 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation Wei Zhang Ziming Huang Yada Zhu Guangnan Ye Xiaodong Cui Fan Zhang 19 17 0 09 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 22 796 0 07 May 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation Ruibo Liu Guangxuan Xu Chenyan Jia Weicheng Ma Lili Wang Soroush Vosoughi 23 107 0 05 Dec 2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems Andrea Madotto Samuel Cahyawijaya Genta Indra Winata Yan Xu Zihan Liu Zhaojiang Lin Pascale Fung 18 59 0 28 Sep 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 221 436 0 25 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 185 711 0 17 Apr 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016