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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
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
Michael A. Hedderich
Anyi Wang
Raoyuan Zhao
Florian Eichin
Barbara Plank
30
0
0
22 Apr 2025
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation
Eliya Habba
Ofir Arviv
Itay Itzhak
Yotam Perlitz
Elron Bandel
Leshem Choshen
Michal Shmueli-Scheuer
Gabriel Stanovsky
64
1
0
03 Mar 2025
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
Gyeongje Cho
Yeonkyoung So
Jaejin Lee
ELM
59
0
0
26 Feb 2025
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
Shanshan Xu
T. Y. S. S. Santosh
Yanai Elazar
Quirin Vogel
Barbara Plank
Matthias Grabmair
AILaw
78
0
0
25 Feb 2025
In-context learning of evolving data streams with tabular foundational models
In-context learning of evolving data streams with tabular foundational models
Afonso Lourenço
João Gama
Eric P. Xing
Goreti Marreiros
56
0
0
24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
52
3
0
21 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
85
148
0
28 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
Chain-of-Thought in Large Language Models: Decoding, Projection, and
  Activation
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation
H. Yang
Qianghua Zhao
Lei Li
AI4CE
LRM
66
1
0
05 Dec 2024
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation
  with Multi-Agents
Enhancing Clinical Trial Patient Matching through Knowledge Augmentation with Multi-Agents
Hanwen Shi
Jin Zhang
Kunpeng Zhang
76
0
0
22 Nov 2024
Belief in the Machine: Investigating Epistemological Blind Spots of
  Language Models
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
Mirac Suzgun
Tayfun Gur
Federico Bianchi
Daniel E. Ho
Thomas F. Icard
Dan Jurafsky
James Zou
29
1
0
28 Oct 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive
  Reasoning in LLMs
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
Houman Mehrafarin
Arash Eshghi
Ioannis Konstas
LRM
18
0
0
26 Oct 2024
Causality for Large Language Models
Causality for Large Language Models
Anpeng Wu
Kun Kuang
Minqin Zhu
Yingrong Wang
Yujia Zheng
Kairong Han
B. Li
Guangyi Chen
Fei Wu
Kun Zhang
LRM
44
6
0
20 Oct 2024
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Zhang Enyan
Zewei Wang
Michael A. Lepori
Ellie Pavlick
Helena Aparicio
11
1
0
17 Oct 2024
One Step at a Time: Combining LLMs and Static Analysis to Generate
  Next-Step Hints for Programming Tasks
One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks
Anastasiia Birillo
Elizaveta Artser
Anna Potriasaeva
Ilya Vlasov
Katsiaryna Dzialets
Yaroslav Golubev
Igor Gerasimov
Hieke Keuning
T. Bryksin
36
3
0
11 Oct 2024
Towards a Benchmark for Large Language Models for Business Process
  Management Tasks
Towards a Benchmark for Large Language Models for Business Process Management Tasks
Kiran Busch
Henrik Leopold
43
1
0
04 Oct 2024
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard
  Updated Transformation
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformation
Geyuan Zhang
Xiaofei Zhou
Chuheng Chen
14
0
0
20 Sep 2024
The representation landscape of few-shot learning and fine-tuning in
  large language models
The representation landscape of few-shot learning and fine-tuning in large language models
Diego Doimo
Alessandro Serra
A. Ansuini
Alberto Cazzaniga
88
4
0
05 Sep 2024
Self-Instructed Derived Prompt Generation Meets In-Context Learning:
  Unlocking New Potential of Black-Box LLMs
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
Zhuo Li
Yuhao Du
Jinpeng Hu
Xiang Wan
Anningzhe Gao
22
2
0
03 Sep 2024
Machine Unlearning in Generative AI: A Survey
Machine Unlearning in Generative AI: A Survey
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng-Long Jiang
MU
29
13
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
26
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
18
8
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
Xiaoqing Zheng
Xuanjing Huang
AAML
LRM
24
4
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
27
7
0
26 Jun 2024
Benchmarking Mental State Representations in Language Models
Benchmarking Mental State Representations in Language Models
Matteo Bortoletto
Constantin Ruhdorfer
Lei Shi
Andreas Bulling
AI4MH
LRM
36
4
0
25 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
K. Wense
39
3
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
40
31
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
22
7
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
25
1
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
32
6
0
17 Jun 2024
Effective Generative AI: The Human-Algorithm Centaur
Effective Generative AI: The Human-Algorithm Centaur
S. Saghafian
Lihi Idan
38
7
0
16 Jun 2024
Bayesian Statistical Modeling with Predictors from LLMs
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke
Polina Tsvilodub
Fausto Carcassi
29
4
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
51
12
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 Whisper
Chih-Kai Yang
Kuan Po Huang
Hung-yi Lee
40
3
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
26
3
0
05 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
19
2
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
Lotem Elber-Dorozko
AI4CE
59
2
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
ELM
ALM
120
16
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
21
2
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
28
1
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
37
37
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
37
0
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
21
5
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
27
1
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
32
18
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
27
19
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
25
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
14
1
0
18 Apr 2024
Epigraphics: Message-Driven Infographics Authoring
Epigraphics: Message-Driven Infographics Authoring
Tongyu Zhou
Jeff Huang
G. Chan
27
8
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
24
5
0
10 Apr 2024
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