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Do Prompt-Based Models Really Understand the Meaning of their Prompts?
v1v2 (latest)

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

2 September 2021
Albert Webson
Ellie Pavlick
    LRM
ArXiv (abs)PDFHTML

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

50 / 277 papers shown
Title
Machine Unlearning in Generative AI: A Survey
Machine Unlearning in Generative AI: A Survey
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
MU
307
43
0
30 Jul 2024
GPT Assisted Annotation of Rhetorical and Linguistic Features for
  Interpretable Propaganda Technique Detection in News Text
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text
Kyle Hamilton
Luca Longo
Bojan Bozic
187
1
0
16 Jul 2024
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Alberto Mario Ceballos Arroyo
Monica Munnangi
Jiuding Sun
Karen Y.C. Zhang
Denis Jered McInerney
Byron C. Wallace
Silvio Amir
LM&MA
169
16
0
12 Jul 2024
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
Zisu Huang
Xiaohua Wang
Feiran Zhang
Zhibo Xu
Cenyuan Zhang
Qi Qian
Xiaoqing Zheng
Qi Zhang
AAMLLRM
466
5
0
01 Jul 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine
  Translation and Summarization Evaluation
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Christoph Leiter
Steffen Eger
213
16
0
26 Jun 2024
It Is Not About What You Say, It Is About How You Say It: A Surprisingly
  Simple Approach for Improving Reading Comprehension
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
Sagi Shaier
Lawrence E Hunter
Katharina von der Wense
240
4
0
24 Jun 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
457
49
0
20 Jun 2024
Text Serialization and Their Relationship with the Conventional
  Paradigms of Tabular Machine Learning
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
Kyoka Ono
Simon A. Lee
LMTD
199
11
0
19 Jun 2024
A Personalised Learning Tool for Physics Undergraduate Students Built On
  a Large Language Model for Symbolic Regression
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression
Yufan Zhu
Zi-Yu Khoo
Jonathan Sze Choong Low
Stephane Bressan
AI4Ed
314
4
0
17 Jun 2024
Probing the Decision Boundaries of In-context Learning in Large Language
  Models
Probing the Decision Boundaries of In-context Learning in Large Language Models
Siyan Zhao
Tung Nguyen
Aditya Grover
367
18
0
17 Jun 2024
Effective Generative AI: The Human-Algorithm Centaur
Effective Generative AI: The Human-Algorithm Centaur
S. Saghafian
Lihi Idan
212
12
0
16 Jun 2024
Bayesian Statistical Modeling with Predictors from LLMs
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke
Polina Tsvilodub
Fausto Carcassi
172
7
0
13 Jun 2024
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Jack Merullo
Carsten Eickhoff
Ellie Pavlick
511
30
0
13 Jun 2024
Do Prompts Really Prompt? Exploring the Prompt Understanding Capability
  of Whisper
Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of WhisperSpoken Language Technology Workshop (SLT), 2024
Chih-Kai Yang
Kuan Po Huang
Hung-yi Lee
350
8
0
09 Jun 2024
Are LLMs classical or nonmonotonic reasoners? Lessons from generics
Are LLMs classical or nonmonotonic reasoners? Lessons from generics
Alina Leidinger
R. Rooij
Ekaterina Shutova
LRM
282
9
0
05 Jun 2024
Towards Rationality in Language and Multimodal Agents: A Survey
Towards Rationality in Language and Multimodal Agents: A Survey
Bowen Jiang
Yangxinyu Xie
Xiaomeng Wang
Yuan Yuan
Camillo J Taylor
Tanwi Mallick
Weijie J. Su
Camillo J. Taylor
Tanwi Mallick
LLMAG
326
4
0
01 Jun 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via
  Selective Tensor Freezing
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang
Wei Gao
205
3
0
24 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
AI4CE
489
6
0
24 May 2024
Lessons from the Trenches on Reproducible Evaluation of Language Models
Lessons from the Trenches on Reproducible Evaluation of Language Models
Stella Biderman
Hailey Schoelkopf
Lintang Sutawika
Leo Gao
J. Tow
...
Xiangru Tang
Kevin A. Wang
Genta Indra Winata
Franccois Yvon
Andy Zou
ELMALM
333
99
3
23 May 2024
CIVICS: Building a Dataset for Examining Culturally-Informed Values in
  Large Language Models
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
Giada Pistilli
Alina Leidinger
Yacine Jernite
Atoosa Kasirzadeh
A. Luccioni
Margaret Mitchell
307
6
0
22 May 2024
Exploring Ordinality in Text Classification: A Comparative Study of
  Explicit and Implicit Techniques
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
Siva Rajesh Kasa
Aniket Goel
Karan Gupta
Sumegh Roychowdhury
Anish Bhanushali
Nikhil Pattisapu
Prasanna Srinivasa Murthy
237
6
0
20 May 2024
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For
  Text-to-SQL Generation
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
Dongjun Lee
Choongwon Park
Jaehyuk Kim
Heesoo Park
258
92
0
13 May 2024
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation
Ana Brassard
Benjamin Heinzerling
Keito Kudo
Keisuke Sakaguchi
Kentaro Inui
LRM
123
3
0
08 May 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning
  Makes LLMs More Prone To Jailbreak Attacks
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks
Georgios Pantazopoulos
Amit Parekh
Malvina Nikandrou
Alessandro Suglia
243
10
0
07 May 2024
A Human-Computer Collaborative Tool for Training a Single Large Language
  Model Agent into a Network through Few Examples
A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Lihang Pan
Yuxuan Li
Chun Yu
Yuanchun Shi
LLMAG
172
2
0
24 Apr 2024
What Makes Multimodal In-Context Learning Work?
What Makes Multimodal In-Context Learning Work?
Folco Bertini Baldassini
Mustafa Shukor
Matthieu Cord
Laure Soulier
Benjamin Piwowarski
388
36
0
24 Apr 2024
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on
  Negotiation Surrounding
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
Chunkit Chan
Cheng Jiayang
Yauwai Yim
Zheye Deng
Wei Fan
Haoran Li
Xin Liu
Hongming Zhang
Weiqi Wang
Yangqiu Song
LLMAG
219
37
0
21 Apr 2024
Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast
  Cancer Self-Screening Rules into AI Responses
Reinforcement of Explainability of ChatGPT Prompts by Embedding Breast Cancer Self-Screening Rules into AI Responses
Yousef Khan
Ahmed Abdeen Hamed
134
2
0
21 Apr 2024
CAUS: A Dataset for Question Generation based on Human Cognition
  Leveraging Large Language Models
CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models
Minjung Shin
Donghyun Kim
Jeh-Kwang Ryu
LRM
155
2
0
18 Apr 2024
Epigraphics: Message-Driven Infographics Authoring
Epigraphics: Message-Driven Infographics Authoring
Tongyu Zhou
Jeff Huang
G. Chan
175
12
0
15 Apr 2024
LLMs in Biomedicine: A study on clinical Named Entity Recognition
LLMs in Biomedicine: A study on clinical Named Entity Recognition
Masoud Monajatipoor
Jiaxin Yang
Joel Stremmel
Melika Emami
Fazlolah Mohaghegh
Mozhdeh Rouhsedaghat
Kai-Wei Chang
LM&MA
230
25
0
10 Apr 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?International Workshop on Semantic Evaluation (SemEval), 2024
Pouya Sadeghi
Amirhossein Abaskohi
Yadollah Yaghoobzadeh
LRMReLM
209
2
0
03 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
Deconstructing In-Context Learning: Understanding Prompts via CorruptionInternational Conference on Language Resources and Evaluation (LREC), 2024
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
296
8
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
222
2
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
Kyle Lo
Aakanksha Naik
327
20
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
Avi Schwarzschild
Naoki Murata
Yiding Jiang
J. Williams
George Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
DiffM
274
8
0
28 Mar 2024
Monotonic Paraphrasing Improves Generalization of Language Model
  Prompting
Monotonic Paraphrasing Improves Generalization of Language Model PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Qin Liu
Fei Wang
Nan Xu
Tianyi Yan
Tao Meng
Muhao Chen
LRM
283
10
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
60
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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
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Zhaochun Ren
Yin Dawei
191
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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
289
3
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
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141
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19 Mar 2024
On the Challenges and Opportunities in Generative AI
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Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
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Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
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40
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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
247
34
0
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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
297
26
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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
ReLMLRM
210
1
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24 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of
  Randomness: Impact of Interactions and Systematic Choices
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Branislav Pecher
Ivan Srba
Maria Bielikova
233
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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
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Solving Data-centric Tasks using Large Language Models
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Shraddha Barke
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156
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Understanding In-Context Learning with a Pelican Soup Framework
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Ting-Rui Chiang
Dani Yogatama
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Can we Soft Prompt LLMs for Graph Learning Tasks?
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Zheyuan Liu
Xiaoxin He
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263
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