How Many Data Points is a Prompt Worth?

15 March 2021

Papers citing "How Many Data Points is a Prompt Worth?"

42 / 192 papers shown

Title
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 37 4 0 24 Dec 2021
DREAM: Improving Situational QA by First Elaborating the Situation Yuling Gu Bhavana Dalvi Peter Clark 19 18 0 16 Dec 2021
Reconsidering the Past: Optimizing Hidden States in Language Models Davis Yoshida Kevin Gimpel BDL 15 2 0 16 Dec 2021
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts Daniel Khashabi Xinxi Lyu Sewon Min Lianhui Qin Kyle Richardson ... Hannaneh Hajishirzi Tushar Khot Ashish Sabharwal Sameer Singh Yejin Choi 14 75 0 15 Dec 2021
ValueNet: A New Dataset for Human Value Driven Dialogue System Liang Qiu Yizhou Zhao Jinchao Li Pan Lu Baolin Peng Jianfeng Gao Song-Chun Zhu 22 35 0 12 Dec 2021
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 71 83 0 08 Nov 2021
OpenPrompt: An Open-source Framework for Prompt-learning Ning Ding Shengding Hu Weilin Zhao Yulin Chen Zhiyuan Liu Haitao Zheng Maosong Sun VLM LLMAG 23 284 0 03 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 69 1,029 0 01 Nov 2021
Template Filling for Controllable Commonsense Reasoning Dheeraj Rajagopal Vivek Khetan Bogdan Sacaleanu A. Gershman Andy E. Fano Eduard H. Hovy BDL LRM 15 6 0 31 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail Simran Arora Sen Wu Enci Liu Christopher Ré 17 0 0 16 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq R. Joty CLL 173 98 0 14 Oct 2021
A Few More Examples May Be Worth Billions of Parameters Yuval Kirstain Patrick Lewis Sebastian Riedel Omer Levy 19 21 0 08 Oct 2021
Paradigm Shift in Natural Language Processing Tianxiang Sun Xiangyang Liu Xipeng Qiu Xuanjing Huang 116 82 0 26 Sep 2021
Language Model Priming for Cross-Lingual Event Extraction Steven Fincke Shantanu Agarwal Scott Miller Elizabeth Boschee 21 27 0 25 Sep 2021
Distilling Relation Embeddings from Pre-trained Language Models Asahi Ushio Jose Camacho-Collados Steven Schockaert 19 21 0 21 Sep 2021
Reframing Instructional Prompts to GPTk's Language Swaroop Mishra Daniel Khashabi Chitta Baral Yejin Choi Hannaneh Hajishirzi 28 214 0 16 Sep 2021
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training Momchil Hardalov Arnav Arora Preslav Nakov Isabelle Augenstein 22 58 0 13 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 56 35 0 09 Sep 2021
Continuous Entailment Patterns for Lexical Inference in Context Martin Schmitt Hinrich Schütze 31 3 0 08 Sep 2021
Open Aspect Target Sentiment Classification with Natural Language Prompts Ronald Seoh Ian Birle Mrinal Tak Haw-Shiuan Chang B. Pinette Alfred Hough 14 61 0 08 Sep 2021
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction Oscar Sainz Oier López de Lacalle Gorka Labaka Ander Barrena Eneko Agirre 6 117 0 08 Sep 2021
Discrete and Soft Prompting for Multilingual Models Mengjie Zhao Hinrich Schütze LRM 10 71 0 08 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 30 351 0 02 Sep 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners Ningyu Zhang Luoqiu Li Xiang Chen Shumin Deng Zhen Bi Chuanqi Tan Fei Huang Huajun Chen VLM 28 171 0 30 Aug 2021
How Optimal is Greedy Decoding for Extractive Question Answering? Or Castel Ori Ram Avia Efrat Omer Levy 20 3 0 12 Aug 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification Sewon Min Michael Lewis Hannaneh Hajishirzi Luke Zettlemoyer VLM 23 218 0 09 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 23 3,828 0 28 Jul 2021
HTLM: Hyper-Text Pre-Training and Prompting of Language Models Armen Aghajanyan Dmytro Okhonko M. Lewis Mandar Joshi Hu Xu Gargi Ghosh Luke Zettlemoyer VLM VPVLM AI4TS AI4CE 19 76 0 14 Jul 2021
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems Neeraj Varshney Swaroop Mishra Chitta Baral 6 0 0 01 Jul 2021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models Robert L Logan IV Ivana Balavzević Eric Wallace Fabio Petroni Sameer Singh Sebastian Riedel VPVLM 31 207 0 24 Jun 2021
BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan Graham Neubig Pengfei Liu 11 805 0 22 Jun 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 13 428 0 24 May 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 14 712 0 18 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 21 401 0 15 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong Kristy Lee Zheng-Wei Zhang Dan Klein 20 166 0 10 Apr 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David Nadav Oved Roi Reichart VLM OOD 14 88 0 24 Feb 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng Chenyan Xiong Payal Bajaj Saurabh Tiwary Paul N. Bennett Jiawei Han Xia Song 125 202 0 16 Feb 2021
Analyzing Commonsense Emergence in Few-shot Knowledge Models Jeff Da Ronan Le Bras Ximing Lu Yejin Choi Antoine Bosselut AI4MH KELM 64 40 0 01 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,587 0 21 Jan 2020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 235 205 0 25 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 208 616 0 03 Sep 2019