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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
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLMLRM
618
205
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
KELMMU
340
127
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
242
8
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
Tao Gui
Xuanjing Huang
LLMAGLRM
266
41
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
229
3
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 DetectionJournal of Biomedical Semantics (JBS), 2024
A. Almudaifer
Whitney L. Covington
JaMor M. Hairston
Zachary Deitch
Ankit Anand
...
William Bradford
Lauren Walter
Eaton Ellen
Sue S Feldman
John D Osborne
185
3
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 ChatGPTACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Azmain Kabir
Shaowei Wang
Yuan Tian
Tse-Hsun Chen
Chen
Muhammad Asaduzzaman
Wenbin Zhang
85
1
0
25 Jan 2024
Evolving Code with A Large Language Model
Evolving Code with A Large Language ModelGenetic Programming and Evolvable Machines (GPEM), 2024
Erik Hemberg
Stephen Moskal
Una-May O’Reilly
228
48
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
Mary Dabre
213
49
0
13 Jan 2024
Parameter-Efficient Detoxification with Contrastive Decoding
Parameter-Efficient Detoxification with Contrastive Decoding
Tong Niu
Caiming Xiong
Semih Yavuz
Yingbo Zhou
161
16
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 ImprovementsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Anton Voronov
Lena Wolf
Max Ryabinin
325
72
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
167
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
LRMAI4CE
195
2
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
189
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 TuningIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Jinta Weng
Jiarui Zhang
Yue Hu
Daidong Fa
Xiaofeng Xu
Heyan Huang
219
2
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 SelectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Caoyun Fan
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
281
6
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 ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yoo-Seok Kho
Jaehee Kim
Pilsung Kang
VLM
195
0
0
08 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-FollowingInternational Conference on Learning Representations (ICLR), 2023
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
264
36
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
ELMLM&MA
206
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
110
13
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
352
51
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 ModelsInternational Conference on Learning Representations (ICLR), 2023
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
314
11
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
153
3
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
285
62
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
Yunjia Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
258
42
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
203
19
0
15 Nov 2023
Are Large Language Models Temporally Grounded?
Are Large Language Models Temporally Grounded?North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Yifu Qiu
Zheng Zhao
Yftah Ziser
Anna Korhonen
Edoardo Ponti
Shay B. Cohen
LRM
300
19
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 ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Lei Lin
Jiayi Fu
Pengli Liu
Qingyang Li
Yan Gong
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Chen Zhang
Kun Gai
LRM
164
15
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 SyntaxNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Aaron Mueller
Albert Webson
Jackson Petty
Tal Linzen
ReLMLRM
252
21
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
363
7
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
206
4
0
13 Nov 2023
On Measuring Faithfulness or Self-consistency of Natural Language
  Explanations
On Measuring Faithfulness or Self-consistency of Natural Language ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Letitia Parcalabescu
Anette Frank
LRM
351
49
0
13 Nov 2023
How are Prompts Different in Terms of Sensitivity?
How are Prompts Different in Terms of Sensitivity?North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Sheng Lu
Hendrik Schuff
Iryna Gurevych
291
27
0
13 Nov 2023
Developing a Named Entity Recognition Dataset for Tagalog
Developing a Named Entity Recognition Dataset for Tagalog
Lester James V. Miranda
172
9
0
13 Nov 2023
Prompt have evil twins
Prompt have evil twinsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Rimon Melamed
Lucas H. McCabe
T. Wakhare
Yejin Kim
H. H. Huang
Enric Boix-Adsera
242
7
0
13 Nov 2023
Making LLMs Worth Every Penny: Resource-Limited Text Classification in
  Banking
Making LLMs Worth Every Penny: Resource-Limited Text Classification in BankingInternational Conference on AI in Finance (ICAF), 2023
Lefteris Loukas
Ilias Stogiannidis
Odysseas Diamantopoulos
Prodromos Malakasiotis
Stavros Vassos
314
66
0
10 Nov 2023
Do LLMs exhibit human-like response biases? A case study in survey
  design
Do LLMs exhibit human-like response biases? A case study in survey designTransactions of the Association for Computational Linguistics (TACL), 2023
Lindia Tjuatja
Valerie Chen
Sherry Tongshuang Wu
Ameet Talwalkar
Graham Neubig
731
154
0
07 Nov 2023
Extraction of Atypical Aspects from Customer Reviews: Datasets and
  Experiments with Language Models
Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models
Smita Nannaware
Erfan Al-Hossami
Razvan Bunescu
109
0
0
05 Nov 2023
Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI)
  Privacy Policy Annotations with Large Language Models
Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2023
Jake Chanenson
Madison Pickering
Noah J. Apthorpe
101
3
0
03 Nov 2023
The language of prompting: What linguistic properties make a prompt
  successful?
The language of prompting: What linguistic properties make a prompt successful?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Alina Leidinger
R. Rooij
Ekaterina Shutova
258
63
0
03 Nov 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiaao Chen
Diyi Yang
MU
323
216
0
31 Oct 2023
Constituency Parsing using LLMs
Constituency Parsing using LLMsIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2023
X. Bai
Jialong Wu
Yulong Chen
Zhongqing Wang
Kehai Chen
Min Zhang
Yue Zhang
345
1
0
30 Oct 2023
R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought
  Reasoning in Large Language Models under Noisy Context
R3^33 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy ContextConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Qingyuan Tian
Hanlun Zhu
Lei Wang
Yang Li
Yunshi Lan
LRMReLM
191
8
0
25 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
359
63
0
24 Oct 2023
Unnatural language processing: How do language models handle
  machine-generated prompts?
Unnatural language processing: How do language models handle machine-generated prompts?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Corentin Kervadec
Francesca Franzon
Marco Baroni
244
7
0
24 Oct 2023
Interpreting Answers to Yes-No Questions in User-Generated Content
Interpreting Answers to Yes-No Questions in User-Generated ContentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shivam Mathur
Keun Hee Park
Dhivya Chinnappa
Saketh Kotamraju
Eduardo Blanco
148
0
0
24 Oct 2023
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in
  Interactions
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in InteractionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hyunwoo J. Kim
Melanie Sclar
Xuhui Zhou
Ronan Le Bras
Gunhee Kim
Yejin Choi
Maarten Sap
LLMAG
256
128
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
429
89
0
23 Oct 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang
Md Mosharaf Hossain
Shivam Mathur
Terry Cruz Melo
Kadir Bulut Ozler
...
Jacob Quintero
MohammadHossein Rezaei
Shreya Nupur Shakya
Md Nayem Uddin
Eduardo Blanco
188
3
0
20 Oct 2023
Understanding Retrieval Augmentation for Long-Form Question Answering
Understanding Retrieval Augmentation for Long-Form Question Answering
Hung-Ting Chen
Fangyuan Xu
Shane Arora
Eunsol Choi
RALM
174
45
0
18 Oct 2023
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