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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with
  Language Models

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models

24 June 2021
Robert L Logan IV
Ivana Balavzević
Eric Wallace
Fabio Petroni
Sameer Singh
Sebastian Riedel
    VPVLM
ArXivPDFHTML

Papers citing "Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models"

50 / 134 papers shown
Title
Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
Jaime E. Cuellar
Oscar Moreno-Martinez
Paula Sofia Torres-Rodriguez
Jaime Andres Pavlich-Mariscal
Andres Felipe Mican-Castiblanco
Juan Guillermo Torres-Hurtado
28
0
0
16 Apr 2025
Accelerating Particle-based Energetic Variational Inference
Accelerating Particle-based Energetic Variational Inference
Xuelian Bao
Lulu Kang
Chun Liu
Yiwei Wang
BDL
59
0
0
04 Apr 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
37
7
0
23 Jan 2025
NL2KQL: From Natural Language to Kusto Query
NL2KQL: From Natural Language to Kusto Query
Amir H. Abdi
Xinye Tang
Jeremias Eichelbaum
Mahan Das
Alex Klein
...
William Blum
Daniel L Mace
Tanvi Raja
Namrata Padmanabhan
Ye Xing
60
2
0
20 Jan 2025
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
Dina Pisarevskaya
Arkaitz Zubiaga
48
0
0
18 Jan 2025
SelfPrompt: Autonomously Evaluating LLM Robustness via
  Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
Aihua Pei
Zehua Yang
Shunan Zhu
Ruoxi Cheng
Ju Jia
AAML
69
2
0
01 Dec 2024
When IoT Meet LLMs: Applications and Challenges
When IoT Meet LLMs: Applications and Challenges
İbrahim Kök
Orhan Demirci
S. Özdemir
75
4
0
20 Nov 2024
Model Balancing Helps Low-data Training and Fine-tuning
Model Balancing Helps Low-data Training and Fine-tuning
Zihang Liu
Y. Hu
Tianyu Pang
Yefan Zhou
Pu Ren
Yaoqing Yang
34
2
0
16 Oct 2024
Steward: Natural Language Web Automation
Steward: Natural Language Web Automation
Brian Tang
Kang G. Shin
LLMAG
29
1
0
23 Sep 2024
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using
  Prefix-Tuning
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning
Maxime Méloux
Christophe Cerisara
KELM
CLL
24
0
0
30 Aug 2024
Can Developers Prompt? A Controlled Experiment for Code Documentation
  Generation
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
L. Herrmann
Tim Puhlfürß
Felix Dietrich
32
3
0
01 Aug 2024
GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
Ritabrata Roy Choudhury
Soumik Dey
31
1
0
31 Jul 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Kangda Wei
Aayush Gautam
Ruihong Huang
32
4
0
28 Jul 2024
Zero-shot prompt-based classification: topic labeling in times of
  foundation models in German Tweets
Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets
Simon Münker
Kai Kugler
Achim Rettinger
VLM
24
0
0
26 Jun 2024
Demonstration Notebook: Finding the Most Suited In-Context Learning
  Example from Interactions
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions
Yiming Tang
Bin Dong
29
0
0
16 Jun 2024
KGPA: Robustness Evaluation for Large Language Models via Cross-Domain
  Knowledge Graphs
KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs
Aihua Pei
Zehua Yang
Shunan Zhu
Ruoxi Cheng
Ju Jia
Lina Wang
37
1
0
16 Jun 2024
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A
  Preliminary Study Towards Reliable NLG Evaluation
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
Jie Ruan
Wenqing Wang
Xiaojun Wan
AAML
ELM
21
3
0
12 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
51
3
0
10 Jun 2024
DiNeR: a Large Realistic Dataset for Evaluating Compositional
  Generalization
DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization
ChenGang Hu
Xiao Liu
Yansong Feng
CoGe
37
0
0
07 Jun 2024
Diffusion Model Patching via Mixture-of-Prompts
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham
Sangmin Woo
Jin-Young Kim
Hyojun Go
Byeongjun Park
Changick Kim
VLM
26
2
0
28 May 2024
Harnessing Large Language Models for Software Vulnerability Detection: A
  Comprehensive Benchmarking Study
Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
Karl Tamberg
Hayretdin Bahsi
39
11
0
24 May 2024
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Guang Lin
Qibin Zhao
Qibin Zhao
AAML
45
2
0
24 May 2024
StablePT: Towards Stable Prompting for Few-shot Learning via Input
  Separation
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
Xiaoming Liu
Chen Liu
Zhaohan Zhang
Chengzhengxu Li
Longtian Wang
Y. Lan
Chao Shen
VLM
39
4
0
30 Apr 2024
Large Language Models as Conversational Movie Recommenders: A User Study
Large Language Models as Conversational Movie Recommenders: A User Study
Ruixuan Sun
Xinyi Li
A K Akella
Joseph Konstan
26
4
0
29 Apr 2024
Evaluation of Few-Shot Learning for Classification Tasks in the Polish
  Language
Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
Tsimur Hadeliya
D. Kajtoch
38
0
0
27 Apr 2024
Identifying Fairness Issues in Automatically Generated Testing Content
Identifying Fairness Issues in Automatically Generated Testing Content
Kevin Stowe
Benny Longwill
Alyssa Francis
Tatsuya Aoyama
Debanjan Ghosh
Swapna Somasundaran
33
1
0
23 Apr 2024
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI
  Models
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
Md Messal Monem Miah
Ulie Schnaithmann
Arushi Raghuvanshi
Youngseo Son
19
0
0
11 Apr 2024
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration
Jie Ying Gao
Simret Araya Gebreegziabher
K. T. W. Choo
T. Li
S. Perrault
Thomas W. Malone
29
30
0
30 Mar 2024
$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on
  Prompt-based Language Models
LinkPrompt\textit{LinkPrompt}LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models
Yue Xu
Wenjie Wang
SILM
AAML
26
2
0
25 Mar 2024
Clinical information extraction for Low-resource languages with Few-shot
  learning using Pre-trained language models and Prompting
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
Phillip Richter-Pechanski
Philipp Wiesenbach
Dominic M. Schwab
Christina Kiriakou
Nicolas Geis
Christoph Dieterich
Anette Frank
24
4
0
20 Mar 2024
Explaining Pre-Trained Language Models with Attribution Scores: An
  Analysis in Low-Resource Settings
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
Wei Zhou
Heike Adel
Hendrik Schuff
Ngoc Thang Vu
LRM
22
2
0
08 Mar 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and
  In-Context Learning
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen
Jialin Song
Pu Ren
Shashank Subramanian
Dmitriy Morozov
Michael W. Mahoney
AI4CE
40
9
0
24 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
21
2
0
15 Feb 2024
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video
  Editing
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Bryan Wang
Yuliang Li
Zhaoyang Lv
Haijun Xia
Yan Xu
Raj Sodhi
21
39
0
15 Feb 2024
A Unified Causal View of Instruction Tuning
A Unified Causal View of Instruction Tuning
Luyao Chen
Wei Huang
Ruqing Zhang
Wei-Neng Chen
J. Guo
Xueqi Cheng
23
1
0
09 Feb 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health
  State Inference
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun
Hongzhan Lin
Rui Yan
SyDa
27
2
0
22 Dec 2023
Simple and Effective Input Reformulations for Translation
Simple and Effective Input Reformulations for Translation
Brian Yu
Hansen Lillemark
Kurt Keutzer
26
0
0
12 Nov 2023
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation
  Extraction
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction
Xilai Ma
Jing Li
Min Zhang
ReLM
LRM
18
18
0
10 Nov 2023
Human-Centered Planning
Human-Centered Planning
Yuliang Li
Nitin Kamra
Ruta Desai
A. Halevy
19
1
0
08 Nov 2023
The language of prompting: What linguistic properties make a prompt
  successful?
The language of prompting: What linguistic properties make a prompt successful?
Alina Leidinger
R. Rooij
Ekaterina Shutova
33
41
0
03 Nov 2023
Defining a New NLP Playground
Defining a New NLP Playground
Sha Li
Chi Han
Pengfei Yu
Carl N. Edwards
Manling Li
...
Yi Ren Fung
Charles Yu
Joel R. Tetreault
Eduard H. Hovy
Heng Ji
31
5
0
31 Oct 2023
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of
  LLMs through a Global Scale Prompt Hacking Competition
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition
Sander Schulhoff
Jeremy Pinto
Anaum Khan
Louis-Franccois Bouchard
Chenglei Si
Svetlina Anati
Valen Tagliabue
Anson Liu Kost
Christopher Carnahan
Jordan L. Boyd-Graber
SILM
29
41
0
24 Oct 2023
A Communication Theory Perspective on Prompting Engineering Methods for
  Large Language Models
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models
Yuanfeng Song
Yuanqin He
Xuefang Zhao
Hanlin Gu
Di Jiang
Haijun Yang
Lixin Fan
Qiang Yang
30
3
0
24 Oct 2023
Unleashing the potential of prompt engineering in Large Language Models:
  a comprehensive review
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Banghao Chen
Zhaofeng Zhang
Nicolas Langrené
Shengxin Zhu
LLMAG
21
89
0
23 Oct 2023
Prompt Engineering Through the Lens of Optimal Control
Prompt Engineering Through the Lens of Optimal Control
Yifan Luo
Yiming Tang
Chengfeng Shen
Zhennan Zhou
Bin Dong
OffRL
25
6
0
22 Oct 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
John X. Morris
Chandan Singh
Alexander M. Rush
Jianfeng Gao
Yuntian Deng
VLM
LRM
17
17
0
21 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based
  Embedding Models
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Pierre Colombo
Victor Pellegrain
Malik Boudiaf
Victor Storchan
Myriam Tami
Ismail Ben Ayed
C´eline Hudelot
Pablo Piantanida
30
8
0
21 Oct 2023
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu
Keyi Kong
Ning Liu
Li-zhen Cui
Di Wang
Jingfeng Zhang
Mohan S. Kankanhalli
AAML
SILM
25
68
0
20 Oct 2023
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
Navapat Nananukul
Khanin Sisaengsuwanchai
M. Kejriwal
22
5
0
09 Oct 2023
Investigating the Efficacy of Large Language Models in Reflective
  Assessment Methods through Chain of Thoughts Prompting
Investigating the Efficacy of Large Language Models in Reflective Assessment Methods through Chain of Thoughts Prompting
Baphumelele Masikisiki
Vukosi Marivate
Y. Hlophe
LRM
ELM
14
4
0
30 Sep 2023
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