FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models

4 September 2021

Papers citing "FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models"

8 / 8 papers shown

Title
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction Nils Constantin Hellwig Jakob Fehle Udo Kruschwitz Christian Wolff AI4MH 39 0 0 18 Feb 2025
Language model acceptability judgements are not always robust to context Koustuv Sinha Jon Gauthier Aaron Mueller Kanishka Misra Keren Fuentes R. Levy Adina Williams 11 17 0 18 Dec 2022
Generating Information-Seeking Conversations from Unlabeled Documents Gangwoo Kim Sungdong Kim Kang Min Yoo Jaewoo Kang 13 13 0 25 May 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering J. Wang Chengyu Wang Minghui Qiu Qiuhui Shi Hongbin Wang Jun Huang Ming Gao RALM 31 15 0 06 May 2022
Compositional Task-Oriented Parsing as Abstractive Question Answering Wenting Zhao Konstantine Arkoudas Weiqiong Sun Claire Cardie 19 13 0 04 May 2022
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks Zhecan Wang Noel Codella Yen-Chun Chen Luowei Zhou Jianwei Yang Xiyang Dai Bin Xiao Haoxuan You Shih-Fu Chang Lu Yuan CLIP VLM 22 39 0 15 Jan 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,916 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020