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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 / 1,829 papers shown
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Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents
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Christian Burmer
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0
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Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning
Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning
Chengye Li
Haiyun Liu
Yuanxi Li
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13 Jun 2025
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Arno Simons
Michael Zichert
Adrian Wüthrich
25
0
0
13 Jun 2025
ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration
ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration
J. Grannen
Siddharth Karamcheti
Blake Wulfe
Dorsa Sadigh
23
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0
13 Jun 2025
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
Zhaiming Shen
Alexander Hsu
Rongjie Lai
Wenjing Liao
MLT
140
1
0
12 Jun 2025
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
Nikolas Evkarpidi
Elena Tutubalina
LMTD
88
0
0
11 Jun 2025
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework
Xiao Wei
Xiaobao Wang
Ning Zhuang
Chenyang Wang
L. Wang
Jianwu Dang
19
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0
10 Jun 2025
Exploring Visual Prompting: Robustness Inheritance and Beyond
Exploring Visual Prompting: Robustness Inheritance and Beyond
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
Keke Tang
VPVLMVLM
25
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0
07 Jun 2025
Random Registers for Cross-Domain Few-Shot Learning
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
74
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0
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Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
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Dongqi Fu
Jun Wu
Jingrui He
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56
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Yilun Kong
Guozheng Ma
Qi Zhao
Haoyu Wang
Li Shen
Xueqian Wang
Dacheng Tao
MoEOffRL
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0
30 May 2025
Evaluating the Sensitivity of LLMs to Prior Context
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Robert Hankache
Kingsley Nketia Acheampong
Liang Song
Marek Brynda
Raad Khraishi
Greig A. Cowan
30
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GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns
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Amalia Todirascu
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On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
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Zhe Chen
Dacheng Tao
3DPC
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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
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Frederic Alexandre
S. Yu
LRM
33
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0
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Information-Theoretic Complementary Prompts for Improved Continual Text Classification
Information-Theoretic Complementary Prompts for Improved Continual Text Classification
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Yong Ren
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Dong Yu
Tielin Zhang
CLLVLM
113
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0
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Interleaved Reasoning for Large Language Models via Reinforcement Learning
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Roy Xie
David Qiu
Deepak Gopinath
Dong Lin
Yanchao Sun
Chong-Jun Wang
Saloni Potdar
Bhuwan Dhingra
KELMLRM
75
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0
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Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects
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Yixin Cui
Haotian Lin
Shuo Yang
Yixiao Wang
Yanjun Huang
Hong Chen
LM&RoLRMELM
121
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48
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Rohit Gheyi
Márcio Ribeiro
ELM
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Efficient Motion Prompt Learning for Robust Visual Tracking
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Xin Chen
Yongsheng Yuan
Michael Felsberg
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Huchuan Lu
43
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Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
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Inez M. Zwetsloot
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Jian Xiong
Jingbo Zhou
Jingyong Ye
Dejing Dou
LRM
93
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0
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Yufan Zhuang
Liyuan Liu
Chandan Singh
Jingbo Shang
Jianfeng Gao
OOD
167
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0
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MAFA: A multi-agent framework for annotation
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Aaron Rodrigues
Azzam Naeem
90
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Pre-trained Prompt-driven Semi-supervised Local Community Detection
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Wenjian Luo
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The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
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Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance
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Su Yang
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