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Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Do Prompt-Based Models Really Understand the Meaning of their Prompts?

2 September 2021
Albert Webson
Ellie Pavlick
    LRM
ArXivPDFHTML

Papers citing "Do Prompt-Based Models Really Understand the Meaning of their Prompts?"

50 / 254 papers shown
Title
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
Pouya Sadeghi
Amirhossein Abaskohi
Yadollah Yaghoobzadeh
LRM
ReLM
33
1
0
03 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
38
2
0
02 Apr 2024
Token-Efficient Leverage Learning in Large Language Models
Token-Efficient Leverage Learning in Large Language Models
Yuanhao Zeng
Min Wang
Yihang Wang
Yingxia Shao
37
0
0
01 Apr 2024
On-the-fly Definition Augmentation of LLMs for Biomedical NER
On-the-fly Definition Augmentation of LLMs for Biomedical NER
Monica Munnangi
Sergey Feldman
Byron C. Wallace
Silvio Amir
Tom Hope
Aakanksha Naik
32
11
0
29 Mar 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Yutong He
Alexander Robey
Naoki Murata
Yiding Jiang
J. Williams
George Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
DiffM
104
4
0
28 Mar 2024
Monotonic Paraphrasing Improves Generalization of Language Model
  Prompting
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
Qin Liu
Fei Wang
Nan Xu
Tianyi Yan
Tao Meng
Muhao Chen
LRM
43
7
0
24 Mar 2024
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series
  classification
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification
Zhicheng Du
Zhaotian Xie
Yan Tong
Peiwu Qin
AI4TS
31
1
0
23 Mar 2024
Improving the Robustness of Large Language Models via Consistency
  Alignment
Improving the Robustness of Large Language Models via Consistency Alignment
Zhao Yukun
Lingyong Yan
Weiwei Sun
Guoliang Xing
Shuaiqiang Wang
Meng Chong
Zhicong Cheng
Zhaochun Ren
Yin Dawei
35
19
0
21 Mar 2024
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language
  Models
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models
Chengzhe Feng
Yanan Sun
Ke Li
Pan Zhou
Jiancheng Lv
Aojun Lu
51
1
0
20 Mar 2024
Third-Party Language Model Performance Prediction from Instruction
Third-Party Language Model Performance Prediction from Instruction
Rahul Nadkarni
Yizhong Wang
Noah A. Smith
ELM
LRM
50
0
0
19 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Beyond prompt brittleness: Evaluating the reliability and consistency of
  political worldviews in LLMs
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
Tanise Ceron
Neele Falk
Ana Barić
Dmitry Nikolaev
Sebastian Padó
38
15
0
27 Feb 2024
Prompt Perturbation Consistency Learning for Robust Language Models
Prompt Perturbation Consistency Learning for Robust Language Models
Yao Qiang
Subhrangshu Nandi
Ninareh Mehrabi
Greg Ver Steeg
Anoop Kumar
Anna Rumshisky
Aram Galstyan
35
6
0
24 Feb 2024
Look Before You Leap: Problem Elaboration Prompting Improves
  Mathematical Reasoning in Large Language Models
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
Haoran Liao
Jidong Tian
Shaohua Hu
Hao He
Yaohui Jin
ReLM
LRM
46
1
0
24 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of
  Randomness: Impact of Interactions and Systematic Choices
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher
Ivan Srba
M. Bieliková
69
3
0
20 Feb 2024
Do Pre-Trained Language Models Detect and Understand Semantic
  Underspecification? Ask the DUST!
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
Frank Wildenburg
Michael Hanna
Sandro Pezzelle
31
3
0
19 Feb 2024
Solving Data-centric Tasks using Large Language Models
Solving Data-centric Tasks using Large Language Models
Shraddha Barke
Christian Poelitz
Carina Negreanu
Ben Zorn
J. Cambronero
...
Nadia Polikarpova
Advait Sarkar
Brian Slininger
N. Toronto
Jack Williams
41
1
0
18 Feb 2024
Understanding In-Context Learning with a Pelican Soup Framework
Understanding In-Context Learning with a Pelican Soup Framework
Ting-Rui Chiang
Dani Yogatama
16
1
0
16 Feb 2024
Can we Soft Prompt LLMs for Graph Learning Tasks?
Can we Soft Prompt LLMs for Graph Learning Tasks?
Zheyuan Liu
Xiaoxin He
Yijun Tian
Nitesh V. Chawla
55
21
0
15 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
152
101
0
15 Feb 2024
Towards Safer Large Language Models through Machine Unlearning
Towards Safer Large Language Models through Machine Unlearning
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
KELM
MU
32
72
0
15 Feb 2024
Large Language Models for the Automated Analysis of Optimization
  Algorithms
Large Language Models for the Automated Analysis of Optimization Algorithms
Camilo Chacón Sartori
Christian Blum
Gabriela Ochoa
19
2
0
13 Feb 2024
Are Large Language Models Good Prompt Optimizers?
Are Large Language Models Good Prompt Optimizers?
Ruotian Ma
Xiaolei Wang
Xin Zhou
Jian Li
Nan Du
Tao Gui
Qi Zhang
Xuanjing Huang
LLMAG
LRM
28
28
0
03 Feb 2024
Actor Identification in Discourse: A Challenge for LLMs?
Actor Identification in Discourse: A Challenge for LLMs?
Ana Barić
Sean Papay
Sebastian Padó
43
1
0
01 Feb 2024
Transfer Learning for the Prediction of Entity Modifiers in Clinical
  Text: Application to Opioid Use Disorder Case Detection
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection
A. Almudaifer
Whitney L. Covington
JaMor M. Hairston
Zachary Deitch
Ankit Anand
...
William Bradford
Lauren Walter
Eaton Ellen
Sue S Feldman
John D Osborne
26
0
0
26 Jan 2024
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code
  Snippets using ChatGPT
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT
Azmain Kabir
Shaowei Wang
Yuan Tian
Tse-Hsun Chen
Chen
Muhammad Asaduzzaman
Wenbin Zhang
12
1
0
25 Jan 2024
Evolving Code with A Large Language Model
Evolving Code with A Large Language Model
Erik Hemberg
Stephen Moskal
Una-May O’Reilly
24
26
0
13 Jan 2024
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics
  Capabilities
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities
S. Sravanthi
Meet Doshi
Tankala Pavan Kalyan
Rudra Murthy
Pushpak Bhattacharyya
Raj Dabre
24
20
0
13 Jan 2024
Parameter-Efficient Detoxification with Contrastive Decoding
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu
Caiming Xiong
Semih Yavuz
Yingbo Zhou
25
12
0
13 Jan 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning
  Improvements
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements
Anton Voronov
Lena Wolf
Max Ryabinin
24
46
0
12 Jan 2024
A Large Language Model-based Computational Approach to Improve
  Identity-Related Write-Ups
A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups
Alex Doboli
29
0
0
27 Dec 2023
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
Haoran Liao
Qinyi Du
Shaohua Hu
Hao He
Yanyan Xu
Jidong Tian
Yaohui Jin
LRM
AI4CE
32
1
0
14 Dec 2023
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
Muge Kural
Ali Gebesçe
T. Chubakov
Gözde Gül Sahin
FedML
26
0
0
14 Dec 2023
Helping Language Models Learn More: Multi-dimensional Task Prompt for
  Few-shot Tuning
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning
Jinta Weng
Jiarui Zhang
Yue Hu
Daidong Fa
Xiaofeng Xu
Heyan Huang
16
1
0
13 Dec 2023
Comparable Demonstrations are Important in In-Context Learning: A Novel
  Perspective on Demonstration Selection
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
Caoyun Fan
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
34
4
0
12 Dec 2023
Boosting Prompt-Based Self-Training With Mapping-Free Automatic
  Verbalizer for Multi-Class Classification
Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification
Yoo-Seok Kho
Jaehee Kim
Pilsung Kang
VLM
28
0
0
08 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
34
26
0
05 Dec 2023
Zero-shot Conversational Summarization Evaluations with small Large
  Language Models
Zero-shot Conversational Summarization Evaluations with small Large Language Models
R. Manuvinakurike
Saurav Sahay
Sangeeta Manepalli
L. Nachman
ELM
LM&MA
22
0
0
29 Nov 2023
AviationGPT: A Large Language Model for the Aviation Domain
AviationGPT: A Large Language Model for the Aviation Domain
Liya Wang
Jason Chou
Xin Zhou
A. Tien
Diane M. Baumgartner
21
7
0
29 Nov 2023
Visual cognition in multimodal large language models
Visual cognition in multimodal large language models
Luca M. Schulze Buschoff
Elif Akata
Matthias Bethge
Eric Schulz
LRM
51
14
0
27 Nov 2023
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of
  Large Language Models
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
43
8
0
22 Nov 2023
To be or not to be? an exploration of continuously controllable prompt
  engineering
To be or not to be? an exploration of continuously controllable prompt engineering
Yuhan Sun
Mukai Li
Yixin Cao
Kun Wang
Wenxiao Wang
Xingyu Zeng
Rui Zhao
LLMAG
29
2
0
16 Nov 2023
You don't need a personality test to know these models are unreliable:
  Assessing the Reliability of Large Language Models on Psychometric
  Instruments
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
Bangzhao Shu
Lechen Zhang
Minje Choi
Lavinia Dunagan
Lajanugen Logeswaran
Moontae Lee
Dallas Card
David Jurgens
21
33
0
16 Nov 2023
When does In-context Learning Fall Short and Why? A Study on
  Specification-Heavy Tasks
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
31
28
0
15 Nov 2023
Auto-ICL: In-Context Learning without Human Supervision
Auto-ICL: In-Context Learning without Human Supervision
Jinghan Yang
Shuming Ma
Furu Wei
29
9
0
15 Nov 2023
Are Large Language Models Temporally Grounded?
Are Large Language Models Temporally Grounded?
Yifu Qiu
Zheng Zhao
Yftah Ziser
Anna Korhonen
E. Ponti
Shay B. Cohen
LRM
6
8
0
14 Nov 2023
Just Ask One More Time! Self-Agreement Improves Reasoning of Language
  Models in (Almost) All Scenarios
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
Lei Lin
Jiayi Fu
Pengli Liu
Qingyang Li
Yan Gong
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Di Zhang
Kun Gai
LRM
27
7
0
14 Nov 2023
In-context Learning Generalizes, But Not Always Robustly: The Case of
  Syntax
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
Aaron Mueller
Albert Webson
Jackson Petty
Tal Linzen
ReLM
LRM
34
13
0
13 Nov 2023
Generalization Analogies: A Testbed for Generalizing AI Oversight to
  Hard-To-Measure Domains
Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains
Joshua Clymer
Garrett Baker
Rohan Subramani
Sam Wang
22
6
0
13 Nov 2023
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend
  Actions in Text Games
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games
Arjun Vaithilingam Sudhakar
Prasanna Parthasarathi
Janarthanan Rajendran
Sarath Chandar
18
3
0
13 Nov 2023
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