Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization

16 November 2023

Papers citing "Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization"

6 / 6 papers shown

Title
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications Xiang Li Haoran Tang Siyu Chen Ziwei Wang Anurag Maravi Marcin Abram 11 0 0 12 Dec 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation Gaurav Sahu Olga Vechtomova Dzmitry Bahdanau I. Laradji VLM 47 24 0 22 Oct 2023
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark Chen Zhang L. F. D’Haro Chengguang Tang Ke Shi Guohua Tang Haizhou Li ELM 36 9 0 13 Oct 2023
Salience Allocation as Guidance for Abstractive Summarization Fei Wang Kaiqiang Song Hongming Zhang Lifeng Jin Sangwoo Cho Wenlin Yao Xiaoyang Wang Muhao Chen Dong Yu 53 28 0 22 Oct 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 254 374 0 28 Feb 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 245 1,417 0 22 Aug 2019