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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
    VLM
    SyDa
ArXivPDFHTML

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

50 / 1,811 papers shown
Title
SLHCat: Mapping Wikipedia Categories and Lists to DBpedia by Leveraging
  Semantic, Lexical, and Hierarchical Features
SLHCat: Mapping Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features
Zhaoyi Wang
Zhenyang Zhang
Jiaxin Qin
M. Iwaihara
33
0
0
21 Sep 2023
LLM Guided Inductive Inference for Solving Compositional Problems
LLM Guided Inductive Inference for Solving Compositional Problems
Abhigya Sodani
Lauren Moos
Matthew Mirman
LRM
48
1
0
20 Sep 2023
The Languini Kitchen: Enabling Language Modelling Research at Different
  Scales of Compute
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
Aleksandar Stanić
Dylan R. Ashley
Oleg Serikov
Louis Kirsch
Francesco Faccio
Jürgen Schmidhuber
Thomas Hofmann
Imanol Schlag
MoE
48
9
0
20 Sep 2023
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation
Xinda Wu
Zhijie Huang
Kejun Zhang
Jiaxing Yu
Xu Tan
Tieyao Zhang
Zihao Wang
Lingyun Sun
37
5
0
19 Sep 2023
Human-AI Interactions and Societal Pitfalls
Human-AI Interactions and Societal Pitfalls
Francisco Castro
Jian Gao
Sébastien Martin
27
2
0
19 Sep 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Zijian Zhang
Xiangyu Zhao
Qidong Liu
Chunxu Zhang
Qian Ma
Wanyu Wang
Hongwei Zhao
Yiqi Wang
Zitao Liu
AI4TS
89
17
0
18 Sep 2023
A Statistical Turing Test for Generative Models
A Statistical Turing Test for Generative Models
Hayden Helm
Carey E. Priebe
Weiwei Yang
DeLMO
32
7
0
16 Sep 2023
Using Large Language Models for Knowledge Engineering (LLMKE): A Case
  Study on Wikidata
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
Bohui Zhang
Ioannis Reklos
Nitisha Jain
Albert Meroño-Peñuela
Elena Simperl
26
8
0
15 Sep 2023
How to Handle Different Types of Out-of-Distribution Scenarios in
  Computational Argumentation? A Comprehensive and Fine-Grained Field Study
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
Andreas Waldis
Yufang Hou
Iryna Gurevych
35
2
0
15 Sep 2023
Self-Consistent Narrative Prompts on Abductive Natural Language
  Inference
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Chunkit Chan
Xin Liu
Tszho Chan
Cheng Jiayang
Yangqiu Song
Ginny Wong
Simon See
LRM
33
6
0
15 Sep 2023
An Empirical Evaluation of Prompting Strategies for Large Language
  Models in Zero-Shot Clinical Natural Language Processing
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Sonish Sivarajkumar
Mark Kelley
Alyssa Samolyk-Mazzanti
Shyam Visweswaran
Yanshan Wang
LM&MA
48
28
0
14 Sep 2023
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API
  Names?
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?
Terry Yue Zhuo
Xiaoning Du
Zhenchang Xing
Jiamou Sun
Haowei Quan
Li Li
Liming Zhu
33
2
0
14 Sep 2023
Generative AI
Generative AI
Stefan Feuerriegel
Jochen Hartmann
Christian Janiesch
Patrick Zschech
47
551
0
13 Sep 2023
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source
  Localizer
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer
Yaoting Wang
Weisong Liu
Guangyao Li
Jian Ding
Di Hu
Xi Li
VLM
26
18
0
13 Sep 2023
The first step is the hardest: Pitfalls of Representing and Tokenizing
  Temporal Data for Large Language Models
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models
Dimitris Spathis
F. Kawsar
AI4TS
41
18
0
12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language Models
Language Models as Black-Box Optimizers for Vision-Language Models
Shihong Liu
Zhiqiu Lin
Samuel Yu
Ryan Lee
Tiffany Ling
Deepak Pathak
Deva Ramanan
VLM
35
28
0
12 Sep 2023
Detecting Natural Language Biases with Prompt-based Learning
Detecting Natural Language Biases with Prompt-based Learning
Md Abdul Aowal
Maliha T Islam
P. Mammen
Sandesh Shetty
22
1
0
11 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Rongsheng Li
Yongqian Li
Hai-Tao Zheng
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
25
2
0
10 Sep 2023
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
Yuan Gan
Zongxin Yang
Xihang Yue
Lingyun Sun
Yezhou Yang
25
57
0
10 Sep 2023
Beyond Traditional Teaching: The Potential of Large Language Models and
  Chatbots in Graduate Engineering Education
Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education
M. Abedi
Ibrahem Alshybani
M. Shahadat
M. Murillo
51
13
0
09 Sep 2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free
  Prompt-based Classification
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
29
1
0
08 Sep 2023
LanSER: Language-Model Supported Speech Emotion Recognition
LanSER: Language-Model Supported Speech Emotion Recognition
Taesik Gong
Joshua Belanich
Krishna Somandepalli
Arsha Nagrani
B. Eoff
Brendan Jou
33
10
0
07 Sep 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Dario Di Palma
Giovanni Maria Biancofiore
Vito Walter Anelli
Fedelucio Narducci
Tommaso Di Noia
E. Sciascio
ALM
51
27
0
07 Sep 2023
Can Large Language Models Discern Evidence for Scientific Hypotheses?
  Case Studies in the Social Sciences
Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
S. Koneru
Jian Wu
Sarah Rajtmajer
34
9
0
07 Sep 2023
Aligning Large Language Models for Clinical Tasks
Aligning Large Language Models for Clinical Tasks
Supun Manathunga
Isuru Hettigoda
LM&MA
ELM
AI4MH
36
10
0
06 Sep 2023
Cognitive Architectures for Language Agents
Cognitive Architectures for Language Agents
T. Sumers
Shunyu Yao
Karthik Narasimhan
Thomas Griffiths
LLMAG
LM&Ro
61
154
0
05 Sep 2023
Large Language Models for Generative Recommendation: A Survey and
  Visionary Discussions
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Lei Li
Yongfeng Zhang
Dugang Liu
L. Chen
3DV
LRM
36
71
0
03 Sep 2023
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for
  Vision-Language Models
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
Cheng Shi
Sibei Yang
VLM
27
21
0
03 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
Regularly Truncated M-estimators for Learning with Noisy Labels
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
38
9
0
02 Sep 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan A. Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
45
498
0
02 Sep 2023
BatchPrompt: Accomplish more with less
BatchPrompt: Accomplish more with less
Jianzhe Lin
Maurice Diesendruck
Liang Du
Robin Abraham
LRM
32
9
0
01 Sep 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
22
48
0
30 Aug 2023
Quantifying and Analyzing Entity-level Memorization in Large Language
  Models
Quantifying and Analyzing Entity-level Memorization in Large Language Models
Zhenhong Zhou
Jiuyang Xiang
Chao-Yi Chen
Sen Su
PILM
38
8
0
30 Aug 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of
  Protein Simulators
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Jingbang Chen
Yian Wang
Xingwei Qu
Shuangjia Zheng
Yao-Chun Yang
Hao Dong
Jie Fu
35
0
0
29 Aug 2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text
  Classification
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification
Rongxiang Weng
Chengyu Wang
Cen Chen
Ming Gao
Jun Huang
Aoying Zhou
VLM
30
0
0
29 Aug 2023
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
Chengyin Li
Prashant Khanduri
Yao Qiang
Rafi Ibn Sultan
I. Chetty
D. Zhu
MedIm
77
13
0
28 Aug 2023
Biomedical Entity Linking with Triple-aware Pre-Training
Biomedical Entity Linking with Triple-aware Pre-Training
Xiongliang Yan
Cedric Moller
Ricardo Usbeck
AI4CE
40
3
0
28 Aug 2023
FIRE: Food Image to REcipe generation
FIRE: Food Image to REcipe generation
P. Chhikara
Dhiraj Chaurasia
Yifan Jiang
Omkar Masur
Filip Ilievski
42
23
0
28 Aug 2023
Mobile Foundation Model as Firmware
Mobile Foundation Model as Firmware
Jinliang Yuan
Chenchen Yang
Dongqi Cai
Shihe Wang
Xin Yuan
...
Di Zhang
Hanzi Mei
Xianqing Jia
Shangguang Wang
Mengwei Xu
45
19
0
28 Aug 2023
Text Matching Improves Sequential Recommendation by Reducing Popularity
  Biases
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Zhenghao Liu
Senkun Mei
Chenyan Xiong
Xiaohua Li
Shi Yu
Zhiyuan Liu
Yu Gu
Ge Yu
30
21
0
27 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
21
13
0
26 Aug 2023
WorldSmith: Iterative and Expressive Prompting for World Building with a
  Generative AI
WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI
Hai Dang
Frederik Brudy
G. Fitzmaurice
Fraser Anderson
24
24
0
25 Aug 2023
Towards Realistic Zero-Shot Classification via Self Structural Semantic
  Alignment
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Shengxiang Zhang
Muzammal Naseer
Guangyi Chen
Zhiqiang Shen
Salman Khan
Kun Zhang
Fahad Shahbaz Khan
VLM
60
5
0
24 Aug 2023
Large Language Models Vote: Prompting for Rare Disease Identification
Large Language Models Vote: Prompting for Rare Disease Identification
David Oniani
Jordan Hilsman
Hang Dong
F. Gao
Shiven Verma
Yanshan Wang
32
12
0
24 Aug 2023
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin
Haoxuan Che
Yi-Mou Lin
Haoxing Chen
MedIm
40
60
0
24 Aug 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions
  of Cells in Microstructures
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich
Tim Prangemeier
Heinz Koeppl
31
0
0
23 Aug 2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang
Lina Liu
Jinpeng Wang
Chuyuan Wang
Xiaodi Sun
Hongyu Wang
Mingchen Cai
LLMAG
50
24
0
23 Aug 2023
Prompt-Based Length Controlled Generation with Reinforcement Learning
Prompt-Based Length Controlled Generation with Reinforcement Learning
Renlong Jie
Xiaojun Meng
Lifeng Shang
Xin Jiang
Qun Liu
24
8
0
23 Aug 2023
Knowledge-injected Prompt Learning for Chinese Biomedical Entity
  Normalization
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
Songhua Yang
Chenghao Zhang
Hongfei Xu
Yuxiang Jia
MedIm
25
0
0
23 Aug 2023
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study
  of the Driver's License Knowledge Test
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test
Saba Rahimi
T. Balch
Manuela Veloso
ELM
34
1
0
22 Aug 2023
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