Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data
Augmentation

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation

7 June 2023

Xiusi Chen

Yu Zhang

Papers citing "Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation"

8 / 8 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 31 0 0 09 May 2025
SMART: Self-Aware Agent for Tool Overuse Mitigation Cheng Qian Emre Can Acikgoz H. Wang Xiusi Chen Avirup Sil Dilek Hakkani-Tur Gokhan Tur Heng Ji LLMAG KELM LRM 71 5 0 17 Feb 2025
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering Xiusi Chen Jyun-Yu Jiang Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Wei Wang 21 11 0 08 Oct 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,927 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,591 0 21 Jan 2020
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 299 6,996 0 20 Apr 2018