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Designing and Interpreting Probes with Control Tasks

Designing and Interpreting Probes with Control Tasks

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
8 September 2019
John Hewitt
Abigail Z. Jacobs
ArXiv (abs)PDFHTML

Papers citing "Designing and Interpreting Probes with Control Tasks"

50 / 381 papers shown
Probing for Understanding of English Verb Classes and Alternations in
  Large Pre-trained Language Models
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language ModelsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
David K. Yi
James V. Bruno
Jiayu Han
Peter Zukerman
Shane Steinert-Threlkeld
55
3
0
11 Sep 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
233
5
0
25 Aug 2022
What Artificial Neural Networks Can Tell Us About Human Language
  Acquisition
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Alex Warstadt
Samuel R. Bowman
256
136
0
17 Aug 2022
Probing Classifiers are Unreliable for Concept Removal and Detection
Probing Classifiers are Unreliable for Concept Removal and DetectionNeural Information Processing Systems (NeurIPS), 2022
Abhinav Kumar
Chenhao Tan
Amit Sharma
AAML
284
30
0
08 Jul 2022
Probing via Prompting
Probing via PromptingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jiaoda Li
Robert Bamler
Mrinmaya Sachan
248
14
0
04 Jul 2022
Is neural language acquisition similar to natural? A chronological
  probing study
Is neural language acquisition similar to natural? A chronological probing studyComputational Linguistics and Intellectual Technologies (CLIT), 2022
E. Voloshina
O. Serikov
Tatiana Shavrina
239
4
0
01 Jul 2022
Proton: Probing Schema Linking Information from Pre-trained Language
  Models for Text-to-SQL Parsing
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL ParsingKnowledge Discovery and Data Mining (KDD), 2022
Lihan Wang
Bowen Qin
Binyuan Hui
Bowen Li
Min Yang
Bailin Wang
Binhua Li
Fei Huang
Luo Si
Yongbin Li
209
50
0
28 Jun 2022
Discovering Salient Neurons in Deep NLP Models
Discovering Salient Neurons in Deep NLP ModelsJournal of machine learning research (JMLR), 2022
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
KELMMILM
300
20
0
27 Jun 2022
Sort by Structure: Language Model Ranking as Dependency Probing
Sort by Structure: Language Model Ranking as Dependency ProbingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Max Müller-Eberstein
Rob van der Goot
Barbara Plank
226
3
0
10 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of
  NLP Models
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
Esma Balkir
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
289
40
0
08 Jun 2022
What do tokens know about their characters and how do they know it?
What do tokens know about their characters and how do they know it?North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Ayush Kaushal
Kyle Mahowald
215
37
0
06 Jun 2022
Latent Topology Induction for Understanding Contextualized
  Representations
Latent Topology Induction for Understanding Contextualized Representations
Yao Fu
Mirella Lapata
BDL
706
8
0
03 Jun 2022
Transformer with Fourier Integral Attentions
Transformer with Fourier Integral Attentions
T. Nguyen
Minh Pham
Tam Nguyen
Khai Nguyen
Stanley J. Osher
Nhat Ho
162
6
0
01 Jun 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator
  Evaluation
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation
Tiago Pimentel
Clara Meister
Robert Bamler
376
8
0
31 May 2022
Improving VAE-based Representation Learning
Improving VAE-based Representation Learning
Mingtian Zhang
Tim Z. Xiao
Brooks Paige
David Barber
SSLDRL
261
12
0
28 May 2022
Self-supervised models of audio effectively explain human cortical
  responses to speech
Self-supervised models of audio effectively explain human cortical responses to speechInternational Conference on Machine Learning (ICML), 2022
Aditya R. Vaidya
Shailee Jain
Alexander G. Huth
185
68
0
27 May 2022
Discovering Latent Concepts Learned in BERT
Discovering Latent Concepts Learned in BERTInternational Conference on Learning Representations (ICLR), 2022
Fahim Dalvi
A. Khan
Firoj Alam
Nadir Durrani
Jia Xu
Hassan Sajjad
SSL
160
67
0
15 May 2022
Naturalistic Causal Probing for Morpho-Syntax
Naturalistic Causal Probing for Morpho-SyntaxTransactions of the Association for Computational Linguistics (TACL), 2022
Afra Amini
Tiago Pimentel
Clara Meister
Robert Bamler
MILM
269
25
0
14 May 2022
EigenNoise: A Contrastive Prior to Warm-Start Representations
EigenNoise: A Contrastive Prior to Warm-Start Representations
H. Heidenreich
Jake Williams
127
1
0
09 May 2022
Probing for the Usage of Grammatical Number
Probing for the Usage of Grammatical NumberAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Karim Lasri
Tiago Pimentel
Alessandro Lenci
Thierry Poibeau
Robert Bamler
297
66
0
19 Apr 2022
Probing Script Knowledge from Pre-Trained Models
Probing Script Knowledge from Pre-Trained Models
Zijian Jin
Xingyu Zhang
Mo Yu
Lifu Huang
159
5
0
16 Apr 2022
How Gender Debiasing Affects Internal Model Representations, and Why It
  Matters
How Gender Debiasing Affects Internal Model Representations, and Why It MattersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Hadas Orgad
Seraphina Goldfarb-Tarrant
Yonatan Belinkov
197
19
0
14 Apr 2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Brielen Madureira
David Schlangen
152
4
0
14 Apr 2022
Probing for Constituency Structure in Neural Language Models
Probing for Constituency Structure in Neural Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
David Arps
Younes Samih
Laura Kallmeyer
Hassan Sajjad
169
19
0
13 Apr 2022
A Review on Language Models as Knowledge Bases
A Review on Language Models as Knowledge Bases
Badr AlKhamissi
Millicent Li
Asli Celikyilmaz
Mona T. Diab
Marjan Ghazvininejad
KELM
310
209
0
12 Apr 2022
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
215
17
0
31 Mar 2022
Visualizing the Relationship Between Encoded Linguistic Information and
  Task Performance
Visualizing the Relationship Between Encoded Linguistic Information and Task PerformanceFindings (Findings), 2022
Jiannan Xiang
Huayang Li
Defu Lian
Guoping Huang
Taro Watanabe
Lemao Liu
131
0
0
29 Mar 2022
Word Order Does Matter (And Shuffled Language Models Know It)
Word Order Does Matter (And Shuffled Language Models Know It)Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Vinit Ravishankar
Mostafa Abdou
Artur Kulmizev
Anders Søgaard
186
49
0
21 Mar 2022
How does the pre-training objective affect what large language models
  learn about linguistic properties?
How does the pre-training objective affect what large language models learn about linguistic properties?Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ahmed Alajrami
Nikolaos Aletras
182
22
0
20 Mar 2022
Finding Structural Knowledge in Multimodal-BERT
Finding Structural Knowledge in Multimodal-BERTAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Victor Milewski
Miryam de Lhoneux
Marie-Francine Moens
209
12
0
17 Mar 2022
Iteratively Prompt Pre-trained Language Models for Chain of Thought
Iteratively Prompt Pre-trained Language Models for Chain of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Boshi Wang
Xiang Deng
Huan Sun
KELMReLMLRM
326
117
0
16 Mar 2022
When classifying grammatical role, BERT doesn't care about word order...
  except when it matters
When classifying grammatical role, BERT doesn't care about word order... except when it mattersAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Isabel Papadimitriou
Richard Futrell
Kyle Mahowald
MILM
248
34
0
11 Mar 2022
On the data requirements of probing
On the data requirements of probingFindings (Findings), 2022
Zining Zhu
Jixuan Wang
Bai Li
Frank Rudzicz
207
5
0
25 Feb 2022
Screening Gender Transfer in Neural Machine Translation
Screening Gender Transfer in Neural Machine TranslationBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
Guillaume Wisniewski
Lichao Zhu
Nicolas Bailler
François Yvon
215
6
0
25 Feb 2022
Evaluating the Construct Validity of Text Embeddings with Application to
  Survey Questions
Evaluating the Construct Validity of Text Embeddings with Application to Survey QuestionsEPJ Data Science (EPJ Data Sci.), 2022
Qixiang Fang
D. Nguyen
Daniel L. Oberski
199
15
0
18 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
What Has Been Enhanced in my Knowledge-Enhanced Language Model?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Buse Giledereli
Guoji Fu
Mrinmaya Sachan
KELM
584
1
0
02 Feb 2022
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes
  in Natural Language
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
Mael Jullien
Marco Valentino
André Freitas
210
10
0
25 Jan 2022
A Latent-Variable Model for Intrinsic Probing
A Latent-Variable Model for Intrinsic ProbingAAAI Conference on Artificial Intelligence (AAAI), 2022
Karolina Stañczak
Lucas Torroba Hennigen
Adina Williams
Robert Bamler
Isabelle Augenstein
393
5
0
20 Jan 2022
Interpreting Arabic Transformer Models
Ahmed Abdelali
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
147
2
0
19 Jan 2022
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding
  of Recursive Noun Phrases
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases
Qing Lyu
Hua Zheng
Daoxin Li
Li Zhang
Marianna Apidianaki
Chris Callison-Burch
170
5
0
15 Dec 2021
Decomposing Natural Logic Inferences in Neural NLI
Decomposing Natural Logic Inferences in Neural NLI
Julia Rozanova
Deborah Ferreira
Marco Valentino
Mokanrarangan Thayaparan
André Freitas
NAILRM
186
5
0
15 Dec 2021
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
Jakob Prange
Nathan Schneider
Lingpeng Kong
131
12
0
15 Dec 2021
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a
  Language-Model-as-a-Service Framework
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao
Fei Mi
Yasheng Wang
Minglei Li
Xin Jiang
Qun Liu
Hinrich Schütze
RALM
276
12
0
14 Dec 2021
Probing Linguistic Information For Logical Inference In Pre-trained
  Language Models
Probing Linguistic Information For Logical Inference In Pre-trained Language Models
Zeming Chen
Qiyue Gao
145
11
0
03 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas Icard
Noah D. Goodman
Christopher Potts
CMLOOD
376
94
0
01 Dec 2021
Do Language Models Have Beliefs? Methods for Detecting, Updating, and
  Visualizing Model Beliefs
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Peter Hase
Mona T. Diab
Asli Celikyilmaz
Xian Li
Zornitsa Kozareva
Veselin Stoyanov
Joey Tianyi Zhou
Srini Iyer
KELMLRM
172
88
0
26 Nov 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust
  Perception
Neural Population Geometry Reveals the Role of Stochasticity in Robust PerceptionNeural Information Processing Systems (NeurIPS), 2021
Joel Dapello
J. Feather
Hang Le
Tiago Marques
David D. Cox
Josh H. McDermott
J. DiCarlo
SueYeon Chung
AAMLOOD
132
26
0
12 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
210
53
0
20 Oct 2021
Schrödinger's Tree -- On Syntax and Neural Language Models
Schrödinger's Tree -- On Syntax and Neural Language Models
Artur Kulmizev
Joakim Nivre
144
7
0
17 Oct 2021
Improving Transformers with Probabilistic Attention Keys
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen
T. Nguyen
Dung D. Le
Duy Khuong Nguyen
Viet-Anh Tran
Richard G. Baraniuk
Nhat Ho
Stanley J. Osher
206
36
0
16 Oct 2021
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