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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
28 July 2021
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
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Papers citing
"Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing"
50 / 1,820 papers shown
Title
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Robot Behavior-Tree-Based Task Generation with Large Language Models
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STA: Self-controlled Text Augmentation for Improving Text Classifications
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SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
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Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness
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Ivan Vulić
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53
72
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22 Feb 2023
Guiding Large Language Models via Directional Stimulus Prompting
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Baolin Peng
Pengcheng He
Michel Galley
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45
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0
22 Feb 2023
Construction of Knowledge Graphs: State and Challenges
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31
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0
22 Feb 2023
In-context Example Selection with Influences
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44
48
0
21 Feb 2023
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Maciej Piasecki
Lukasz Radliñski
Konrad Wojtasik
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55
536
0
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A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
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Sam Hays
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Jesse Spencer-Smith
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Mask-guided BERT for Few Shot Text Classification
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Haixing Dai
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52
39
0
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Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
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Guangwu Qian
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53
206
0
20 Feb 2023
Can discrete information extraction prompts generalize across language models?
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44
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0
20 Feb 2023
Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
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Yusheng Su
Hsiu-Yuan Huang
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Xin Hu
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Kristen A. Lindquist
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Dan Zhang
40
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0
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Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Qihuang Zhong
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Bo Du
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66
240
0
19 Feb 2023
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
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46
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0
19 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models
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Suraj Maharjan
Bei Liu
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36
14
0
18 Feb 2023
Prompting Large Language Models With the Socratic Method
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72
48
0
17 Feb 2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
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Shizhe Diao
Benyou Wang
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61
30
0
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Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
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Q. Li
Ruochen Zhao
Shafiq Joty
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28
15
0
16 Feb 2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Gen Luo
Minglang Huang
Yiyi Zhou
Xiaoshuai Sun
Guannan Jiang
Zhiyu Wang
Rongrong Ji
VLM
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14
79
0
16 Feb 2023
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition
Minsu Kim
Hyungil Kim
Y. Ro
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20
18
0
16 Feb 2023
LabelPrompt: Effective Prompt-based Learning for Relation Classification
Weinan Zhang
Xiaoning Song
Zhenhua Feng
Tianyang Xu
Xiaojun Wu
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42
4
0
16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Zemin Liu
Xingtong Yu
Yuan Fang
Xinming Zhang
LLMAG
AI4CE
27
137
0
16 Feb 2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting
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Alessandro Achille
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19
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15 Feb 2023
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33
6
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15 Feb 2023
ScatterShot: Interactive In-context Example Curation for Text Transformation
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0
14 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
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Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking
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Cross-Modal Fine-Tuning: Align then Refine
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51
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Global Constraints with Prompting for Zero-Shot Event Argument Classification
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48
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Black Box Adversarial Prompting for Foundation Models
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GPTScore: Evaluate as You Desire
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Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning
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38
13
0
08 Feb 2023
PLACES: Prompting Language Models for Social Conversation Synthesis
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47
78
0
07 Feb 2023
Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models
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