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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
Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs
Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs
Daniel Agyei Asante
Md Mokarram Chowdhury
Yang Li
87
0
0
27 Nov 2025
ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
Qing Zhang
Bing Xu
X. R. Zhang
Yifan Shi
Yang Li
...
Ngai Wong
Yijie Chen
Hong Dai
X. Chen
M. Zhang
100
0
0
20 Nov 2025
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction
Asutosh Hota
Jussi P.P. Jokinen
93
0
0
29 Oct 2025
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
Zhiping Zhou
Xiaohong Li
Ruitao Feng
Yao Zhang
Yuekang Li
Wenbu Feng
Yunqian Wang
Y. Li
105
0
0
22 Oct 2025
Stable LLM Ensemble: Interaction between Example Representativeness and Diversity
Stable LLM Ensemble: Interaction between Example Representativeness and Diversity
Junichiro Niimi
132
0
0
15 Oct 2025
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
Anna Hedström
Salim I. Amoukou
Tom Bewley
Saumitra Mishra
Manuela Veloso
LLMSV
200
2
0
15 Oct 2025
Continual Learning for Image Captioning through Improved Image-Text Alignment
Continual Learning for Image Captioning through Improved Image-Text Alignment
Bertram Taetz
Gal Bordelius
CLLVLM
136
1
0
07 Oct 2025
Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech
Dynamic Stress Detection: A Study of Temporal Progression Modelling of Stress in Speech
Vishakha Lall
Yisi Liu
65
0
0
02 Oct 2025
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
Donghang Wu
H. Zhang
Chen Chen
Tianyu Zhang
Fei Tian
...
Gang Yu
Hexin Liu
Nana Hou
Yuchen Hu
Eng Siong Chng
AuLLMKELMAI4CELRM
476
2
0
02 Oct 2025
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
Chantal Shaib
Vinith Suriyakumar
Levent Sagun
Byron C. Wallace
Elisa Kreiss
LRM
171
2
0
25 Sep 2025
Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
Y Samuel Wang
Ziyang Chen
Md Faisal Kabir
OffRL
120
0
0
25 Sep 2025
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Manyi Yao
Bingbing Zhuang
Sparsh Garg
Amit Roy-Chowdhury
Christian Shelton
Manmohan Chandraker
Abhishek Aich
LRM
194
1
0
23 Sep 2025
Do Natural Language Descriptions of Model Activations Convey Privileged Information?
Do Natural Language Descriptions of Model Activations Convey Privileged Information?
Millicent Li
Alberto Mario Ceballos Arroyo
Giordano Rogers
Naomi Saphra
Byron C. Wallace
168
2
0
16 Sep 2025
Is In-Context Learning Learning?
Is In-Context Learning Learning?
Adrian de Wynter
165
1
0
12 Sep 2025
Compartmentalised Agentic Reasoning for Clinical NLI
Compartmentalised Agentic Reasoning for Clinical NLI
Mael Jullien
Lei Xu
Marco Valentino
André Freitas
LRM
70
0
0
12 Sep 2025
Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
Alva West
Yixuan Weng
Minjun Zhu
Zhen Lin
Yue Zhang
Yue Zhang
151
4
0
12 Sep 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
Kwesi Cobbina
Tianyi Zhou
123
2
0
30 Jul 2025
How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation
How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation
H. Yang
Qinghua Zhao
Lei Li
LRM
141
0
0
28 Jul 2025
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
Logan Cross
Erik Brockbank
Tobias Gerstenberg
Judith E. Fan
Daniel L. K. Yamins
Nick Haber
121
0
0
25 Jul 2025
When Does Meaning Backfire? Investigating the Role of AMRs in NLI
When Does Meaning Backfire? Investigating the Role of AMRs in NLI
Junghyun Min
Xiulin Yang
Shira Wein
LLMSV
286
2
0
17 Jun 2025
When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs
When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs
Xiao Li
Joel Kreuzwieser
Alan Peters
139
1
0
11 Jun 2025
What Makes a Good Natural Language Prompt?
What Makes a Good Natural Language Prompt?Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Do Xuan Long
Duy Dinh
Ngoc-Hai Nguyen
Kenji Kawaguchi
Nancy F. Chen
Shafiq Joty
Min-Yen Kan
206
6
0
07 Jun 2025
Large Language Models are Demonstration Pre-Selectors for Themselves
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin
Yuwei Wu
Haoxuan Li
Xiaoting He
Weinan Zhang
Y. Yang
Yong Yu
Jun Wang
Mengyue Yang
271
2
0
06 Jun 2025
Labelling Data with Unknown References
Labelling Data with Unknown References
Adrian de Wynter
365
0
0
03 Jun 2025
S2LPP: Small-to-Large Prompt Prediction across LLMs
S2LPP: Small-to-Large Prompt Prediction across LLMs
Liang Cheng
Tianyi Li
Zhaowei Wang
Mark Steedman
LRM
194
1
0
26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao
Xin Wang
Jianlong Wu
David A. Clifton
271
0
0
25 May 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Mengru Wang
Ziwen Xu
Shengyu Mao
Shumin Deng
Zhaopeng Tu
Ningyu Zhang
Ningyu Zhang
LLMSV
443
9
0
23 May 2025
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
Varvara Arzt
Allan Hanbury
Michael Wiegand
Gábor Recski
Terra Blevins
240
1
0
18 May 2025
LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models
LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models
Ryan Chen
Youngmin Ko
Zeyu Zhang
Catherine Cho
Sunny Chung
Mauro Giuffré
Dennis L. Shung
Bradly C. Stadie
385
0
0
17 May 2025
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 PatternsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Michael A. Hedderich
Anyi Wang
Raoyuan Zhao
Florian Eichin
Jonas Fischer
Barbara Plank
328
3
0
22 Apr 2025
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Eliya Habba
Ofir Arviv
Itay Itzhak
Yotam Perlitz
Elron Bandel
Leshem Choshen
Michal Shmueli-Scheuer
Gabriel Stanovsky
355
11
0
03 Mar 2025
Choices Speak Louder than Questions
Choices Speak Louder than Questions
Gyeongje Cho
Yeonkyoung So
Jaejin Lee
ELM
379
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
447
2
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
423
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Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
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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 EthicsInformation Fusion (Inf. Fusion), 2023
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Xiaoshi Zhong
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706
262
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-checkingInternational Conference on Computational Linguistics (COLING), 2025
Dina Pisarevskaya
Arkaitz Zubiaga
295
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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
AI4CELRM
225
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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
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Belief in the Machine: Investigating Epistemological Blind Spots of
  Language Models
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Mirac Suzgun
Tayfun Gur
Federico Bianchi
Daniel E. Ho
Thomas Icard
Dan Jurafsky
James Zou
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Reasoning or a Semblance of it? A Diagnostic Study of Transitive
  Reasoning in LLMs
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Arash Eshghi
Ioannis Konstas
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162
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Causality for Large Language Models
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Anpeng Wu
Kun Kuang
Minqin Zhu
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Yujia Zheng
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Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
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Eliciting Textual Descriptions from Representations of Continuous
  Prompts
Eliciting Textual Descriptions from Representations of Continuous Prompts
Dana Ramati
Daniela Gottesman
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214
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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 TasksEuropean Conference on Modelling and Simulation (ECMS), 2024
Anastasiia Birillo
Elizaveta Artser
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Ilya Vlasov
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180
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Investigating Human-Computer Interaction and Visual Comprehension in
  Text Generation Process of Natural Language Generation Models
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Zihang Fu
Chaoqing Xu
Guodao Sun
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Towards a Benchmark for Large Language Models for Business Process
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HUT: A More Computation Efficient Fine-Tuning Method With Hadamard
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