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Visualizing and Measuring the Geometry of BERT

Visualizing and Measuring the Geometry of BERT

6 June 2019
Andy Coenen
Emily Reif
Ann Yuan
Been Kim
Adam Pearce
F. Viégas
Martin Wattenberg
    MILM
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Papers citing "Visualizing and Measuring the Geometry of BERT"

50 / 71 papers shown
Title
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation
Chiara Manna
Afra Alishahi
Frédéric Blain
Eva Vanmassenhove
27
0
0
13 May 2025
FinchGPT: a Transformer based language model for birdsong analysis
FinchGPT: a Transformer based language model for birdsong analysis
Kosei Kobayashi
Kosuke Matsuzaki
Masaya Taniguchi
Keisuke Sakaguchi
Kentaro Inui
Kentaro Abe
75
0
0
01 Feb 2025
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
55
3
0
06 Aug 2024
A mathematical framework of intelligence and consciousness based on
  Riemannian Geometry
A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Meng Lu
AI4CE
34
0
0
02 Jul 2024
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park
Yo Joong Choe
Yibo Jiang
Victor Veitch
50
26
0
03 Jun 2024
Latent Concept-based Explanation of NLP Models
Latent Concept-based Explanation of NLP Models
Xuemin Yu
Fahim Dalvi
Nadir Durrani
Marzia Nouri
Hassan Sajjad
LRM
FAtt
29
1
0
18 Apr 2024
(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection
(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection
Francesco Periti
Haim Dubossarsky
Nina Tahmasebi
AI4MH
34
13
0
25 Jan 2024
Investigating semantic subspaces of Transformer sentence embeddings
  through linear structural probing
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
Dmitry Nikolaev
Sebastian Padó
46
5
0
18 Oct 2023
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech
  Transformers
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers
Hosein Mohebbi
Grzegorz Chrupała
Willem H. Zuidema
A. Alishahi
36
12
0
15 Oct 2023
Are Transformers with One Layer Self-Attention Using Low-Rank Weight
  Matrices Universal Approximators?
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
T. Kajitsuka
Issei Sato
31
16
0
26 Jul 2023
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning
  Sparse Contextualized Word Representations
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word Representations
Gábor Berend
38
7
0
25 Jul 2023
Morphosyntactic probing of multilingual BERT models
Morphosyntactic probing of multilingual BERT models
Judit Ács
Endre Hamerlik
Roy Schwartz
Noah A. Smith
András Kornai
32
9
0
09 Jun 2023
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large
  Language Models
Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
Emily Reif
Minsuk Kahng
S. Petridis
25
6
0
19 May 2023
Semantic Specialization for Knowledge-based Word Sense Disambiguation
Semantic Specialization for Knowledge-based Word Sense Disambiguation
Sakae Mizuki
Naoaki Okazaki
21
1
0
22 Apr 2023
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic
  Data Imputation
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
Haifang Wen
Wenzhuo Tang
Wei Jin
Jiayuan Ding
Renming Liu
Xinnan Dai
Feng Shi
Lulu Shang
Jiliang Tang
Yuying Xie
29
8
0
06 Feb 2023
Construction Grammar Provides Unique Insight into Neural Language Models
Construction Grammar Provides Unique Insight into Neural Language Models
Leonie Weissweiler
Taiqi He
Naoki Otani
David R. Mortensen
Lori S. Levin
Hinrich Schütze
21
13
0
04 Feb 2023
Preserving local densities in low-dimensional embeddings
Preserving local densities in low-dimensional embeddings
Jonas Fischer
R. Burkholz
Jilles Vreeken
22
3
0
31 Jan 2023
Byte Pair Encoding for Symbolic Music
Byte Pair Encoding for Symbolic Music
Nathan Fradet
Nicolas Gutowski
F. Chhel
Jean-Pierre Briot
29
15
0
27 Jan 2023
Deep Learning Models to Study Sentence Comprehension in the Human Brain
Deep Learning Models to Study Sentence Comprehension in the Human Brain
S. Arana
Jacques Pesnot Lerousseau
P. Hagoort
23
10
0
16 Jan 2023
SensePOLAR: Word sense aware interpretability for pre-trained contextual
  word embeddings
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
Jan Engler
Sandipan Sikdar
Marlene Lutz
M. Strohmaier
32
7
0
11 Jan 2023
Formal Semantic Geometry over Transformer-based Variational AutoEncoder
Formal Semantic Geometry over Transformer-based Variational AutoEncoder
Yingji Zhang
Danilo S. Carvalho
Ian Pratt-Hartmann
André Freitas
26
4
0
12 Oct 2022
Analyzing Text Representations under Tight Annotation Budgets: Measuring
  Structural Alignment
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment
César González-Gutiérrez
Audi Primadhanty
Francesco Cazzaro
A. Quattoni
33
0
0
11 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination
  of Local Composition in Language Models
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
Emmy Liu
Graham Neubig
CoGe
18
10
0
07 Oct 2022
Lost in Context? On the Sense-wise Variance of Contextualized Word
  Embeddings
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings
Yile Wang
Yue Zhang
19
4
0
20 Aug 2022
What does Transformer learn about source code?
What does Transformer learn about source code?
Kechi Zhang
Ge Li
Zhi Jin
ViT
22
8
0
18 Jul 2022
A Graph Enhanced BERT Model for Event Prediction
A Graph Enhanced BERT Model for Event Prediction
LI DU
Xiao Ding
Yue Zhang
Kai Xiong
Ting Liu
Bing Qin
30
10
0
22 May 2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and
  hierarchical clustering
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
Eli Chien
Puoya Tabaghi
O. Milenkovic
24
4
0
19 May 2022
Discovering Latent Concepts Learned in BERT
Discovering Latent Concepts Learned in BERT
Fahim Dalvi
A. Khan
Firoj Alam
Nadir Durrani
Jia Xu
Hassan Sajjad
SSL
11
56
0
15 May 2022
Problems with Cosine as a Measure of Embedding Similarity for High
  Frequency Words
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
Kaitlyn Zhou
Kawin Ethayarajh
Dallas Card
Dan Jurafsky
36
66
0
10 May 2022
BERTops: Studying BERT Representations under a Topological Lens
BERTops: Studying BERT Representations under a Topological Lens
Jatin Chauhan
Manohar Kaul
24
3
0
02 May 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min-Bin Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
20
55
0
22 Dec 2021
Using Distributional Principles for the Semantic Study of Contextual
  Language Models
Using Distributional Principles for the Semantic Study of Contextual Language Models
Olivier Ferret
22
1
0
23 Nov 2021
Interpreting Language Models Through Knowledge Graph Extraction
Interpreting Language Models Through Knowledge Graph Extraction
Vinitra Swamy
Angelika Romanou
Martin Jaggi
28
20
0
16 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
17
44
0
20 Oct 2021
Text analysis and deep learning: A network approach
Text analysis and deep learning: A network approach
Ingo Marquart
22
0
0
08 Oct 2021
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces
  with Pseudowords
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
Taelin Karidi
Yichu Zhou
Nathan Schneider
Omri Abend
Vivek Srikumar
86
13
0
23 Sep 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained
  Language Models
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
Qianchu Liu
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
139
21
0
19 Sep 2021
Incorporating Residual and Normalization Layers into Analysis of Masked
  Language Models
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Goro Kobayashi
Tatsuki Kuribayashi
Sho Yokoi
Kentaro Inui
160
46
0
15 Sep 2021
InceptionXML: A Lightweight Framework with Synchronized Negative
  Sampling for Short Text Extreme Classification
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification
Siddhant Kharbanda
Atmadeep Banerjee
Devaansh Gupta
Akash Palrecha
Rohit Babbar
32
9
0
13 Sep 2021
Uniform Manifold Approximation and Projection (UMAP) and its Variants:
  Tutorial and Survey
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
21
22
0
25 Aug 2021
The Spotlight: A General Method for Discovering Systematic Errors in
  Deep Learning Models
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
G. dÉon
Jason dÉon
J. R. Wright
Kevin Leyton-Brown
25
74
0
01 Jul 2021
The Limitations of Limited Context for Constituency Parsing
The Limitations of Limited Context for Constituency Parsing
Yuchen Li
Andrej Risteski
26
4
0
03 Jun 2021
What if This Modified That? Syntactic Interventions via Counterfactual
  Embeddings
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
Mycal Tucker
Peng Qian
R. Levy
22
38
0
28 May 2021
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and
  Beyond
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Daniel Loureiro
A. Jorge
Jose Camacho-Collados
33
26
0
26 May 2021
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and
  Partitionability into Senses
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses
Aina Garí Soler
Marianna Apidianaki
MILM
209
68
0
29 Apr 2021
Pose Recognition with Cascade Transformers
Pose Recognition with Cascade Transformers
Ke Li
Shijie Wang
Xiang Zhang
Yifan Xu
Weijian Xu
Z. Tu
ViT
37
209
0
14 Apr 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
24
172
0
16 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
30
281
0
08 Mar 2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
Vassilina Nikoulina
Maxat Tezekbayev
Nuradil Kozhakhmet
Madina Babazhanova
Matthias Gallé
Z. Assylbekov
34
8
0
02 Mar 2021
Characterizing English Variation across Social Media Communities with
  BERT
Characterizing English Variation across Social Media Communities with BERT
L. Lucy
David Bamman
21
35
0
12 Feb 2021
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