Prompt-tuning for Clickbait Detection via Text Summarization

17 April 2024

Papers citing "Prompt-tuning for Clickbait Detection via Text Summarization"

10 / 10 papers shown

Title
Clickbait Spoiling via Question Answering and Passage Retrieval Matthias Hagen Maik Fröbe Artur Jurk Martin Potthast 46 35 0 19 Mar 2022
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer Yinyi Wei Tong Mo Yong Jiang Weiping Li Wen Zhao VLM 94 15 0 14 Jan 2022
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 66 409 0 09 Sep 2021
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 66 519 0 24 May 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 136 4,167 0 01 Jan 2021
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification Timo Schick Helmut Schmid Hinrich Schütze VLM 54 206 0 26 Oct 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 69 1,387 0 28 Nov 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 508 2,639 0 03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 327 24,160 0 26 Jul 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 241 1,257 0 14 Nov 2016