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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing

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
    VLMSyDa
ArXiv (abs)PDFHTML

Papers citing "Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing"

50 / 1,916 papers shown
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Generative Modeling of Class Probability for Multi-Modal Representation Learning
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VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
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127
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0
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Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
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Haoran Wang
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Yuan Xue
Shikai Guan
Renzhe Xu
Hao Zou
Han Yu
Peng Cui
99
4
0
19 Mar 2025
Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
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Lei Fan
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166
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Bridging Language Models and Financial Analysis
Bridging Language Models and Financial Analysis
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Sangwoon Yoon
Jy-yong Sohn
Chanyeol Choi
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163
2
0
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Test-Time Training Provably Improves Transformers as In-context Learners
Test-Time Training Provably Improves Transformers as In-context Learners
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M. E. Ildiz
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Mahdi Soltanolkotabi
Marco Mondelli
Samet Oymak
210
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Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
Shaotian Yan
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Liang Xie
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Jieping Ye
ReLMLRM
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PromptMap: An Alternative Interaction Style for AI-Based Image Generation
PromptMap: An Alternative Interaction Style for AI-Based Image Generation
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Julia Dominiak
Andrzej Romanowski
Jakob Karolus
Stanislav Frolov
215
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Enhanced Continual Learning of Vision-Language Models with Model Fusion
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257
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Zhen Chen
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Fangqing Gu
Yang Lu
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177
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0
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Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
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147
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InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
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Artem Moskalev
Shuwei Li
Tommaso Mansi
Mangal Prakash
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Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
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201
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The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats
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Michal Ries
685
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0
04 Mar 2025
AxBERT: An Interpretable Chinese Spelling Correction Method Driven by Associative Knowledge Network
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Zhenping Xie
102
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Provable Benefits of Task-Specific Prompts for In-context Learning
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226
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Visual Adaptive Prompting for Compositional Zero-Shot Learning
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442
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239
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Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows
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Michael Bentley
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AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
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Ask, and it shall be given: On the Turing completeness of prompting
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