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Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Linear Algebraic Structure of Word Senses, with Applications to Polysemy

14 January 2016
Sanjeev Arora
Yuanzhi Li
Yingyu Liang
Tengyu Ma
Andrej Risteski
ArXivPDFHTML

Papers citing "Linear Algebraic Structure of Word Senses, with Applications to Polysemy"

48 / 48 papers shown
Title
Superposition Yields Robust Neural Scaling
Superposition Yields Robust Neural Scaling
Yizhou Liu
Ziming Liu
Jeff Gore
MILM
29
0
0
15 May 2025
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Rui Melo
Claudia Mamede
Andre Catarino
Rui Abreu
Henrique Lopes Cardoso
31
0
0
15 May 2025
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
Zhengfu He
Rongxiang Weng
Rui Lin
Xuyang Ge
Wentao Shu
Qiong Tang
Jiaming Zhang
Xipeng Qiu
70
0
0
29 Apr 2025
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Yuhang Liu
Dong Gong
Erdun Gao
Zhen Zhang
Zhen Zhang
Biwei Huang
Anton van den Hengel
Javen Qinfeng Shi
Javen Qinfeng Shi
229
0
0
12 Mar 2025
Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism
Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism
Timo Aukusti Laine
44
1
0
09 Mar 2025
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
Jonathan Jacobi
Gal Niv
LRM
ReLM
65
0
0
03 Mar 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
51
0
0
15 Feb 2025
The Complexity of Learning Sparse Superposed Features with Feedback
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
241
0
0
08 Feb 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
88
5
0
31 Dec 2024
Mechanistic Permutability: Match Features Across Layers
Mechanistic Permutability: Match Features Across Layers
Nikita Balagansky
Ian Maksimov
Daniil Gavrilov
29
4
0
10 Oct 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models
  Using Discrete Concept
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
YuXuan Wu
Bonaventure F. P. Dossou
Dianbo Liu
MU
26
0
0
08 Oct 2024
On the Complexity of Neural Computation in Superposition
On the Complexity of Neural Computation in Superposition
Micah Adler
Nir Shavit
123
3
0
05 Sep 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
52
28
0
03 Jun 2024
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Contrastive Learning on Multimodal Analysis of Electronic Health Records
Tianxi Cai
Feiqing Huang
Ryumei Nakada
Linjun Zhang
Doudou Zhou
61
0
0
22 Mar 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla
Alexander X. Oesterling
Suraj Srinivas
Flavio du Pin Calmon
Himabindu Lakkaraju
49
36
0
16 Feb 2024
Codebook Features: Sparse and Discrete Interpretability for Neural
  Networks
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin
Mohammad Taufeeque
Noah D. Goodman
35
27
0
26 Oct 2023
Interpretable Neural Embeddings with Sparse Self-Representation
Interpretable Neural Embeddings with Sparse Self-Representation
Minxue Xia
Hao Zhu
MILM
6
0
0
25 Jun 2023
Reverse Engineering Self-Supervised Learning
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
26
35
0
24 May 2023
Discovering Universal Geometry in Embeddings with ICA
Discovering Universal Geometry in Embeddings with ICA
Hiroaki Yamagiwa
Momose Oyama
Hidetoshi Shimodaira
31
15
0
22 May 2023
Shades of meaning: Uncovering the geometry of ambiguous word
  representations through contextualised language models
Shades of meaning: Uncovering the geometry of ambiguous word representations through contextualised language models
Benedetta Cevoli
C. Watkins
Yang Gao
K. Rastle
29
3
0
26 Apr 2023
Word Sense Induction with Knowledge Distillation from BERT
Word Sense Induction with Knowledge Distillation from BERT
Anik Saha
Alex Gittens
B. Yener
20
1
0
20 Apr 2023
Dialectograms: Machine Learning Differences between Discursive
  Communities
Dialectograms: Machine Learning Differences between Discursive Communities
Thyge R Enggaard
August Lohse
M. Pedersen
Sune Lehmann
13
2
0
11 Feb 2023
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
Bimal Bhattarai
Ole-Christoffer Granmo
Lei Jiao
Rohan Kumar Yadav
Jivitesh Sharma
NAI
14
12
0
02 Jan 2023
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous
  Words in Superposition
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White
Ryan Cotterell
DiffM
38
5
0
23 Nov 2022
Interpreting Embedding Spaces by Conceptualization
Interpreting Embedding Spaces by Conceptualization
Adi Simhi
Shaul Markovitch
24
5
0
22 Aug 2022
To Know by the Company Words Keep and What Else Lies in the Vicinity
To Know by the Company Words Keep and What Else Lies in the Vicinity
Jake Williams
H. Heidenreich
24
0
0
30 Apr 2022
From Pivots to Graphs: Augmented CycleDensity as a Generalization to One
  Time InverseConsultation
From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation
Shashwat Goel
K. Grover
30
2
0
27 Aug 2021
Theoretical foundations and limits of word embeddings: what types of
  meaning can they capture?
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
36
19
0
22 Jul 2021
Integrating topic modeling and word embedding to characterize violent
  deaths
Integrating topic modeling and word embedding to characterize violent deaths
Alina Arseniev-Koehler
S. Cochran
V. Mays
Kai-Wei Chang
J. Foster
27
31
0
28 Jun 2021
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Feng Hou
Ruili Wang
Jun He
Yi Zhou
AI4TS
20
39
0
16 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
  Contrastive Learning
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSL
MLT
32
131
0
31 May 2021
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Arie Cattan
Sophie Johnson
Daniel S. Weld
Ido Dagan
Iz Beltagy
Doug Downey
Tom Hope
28
23
0
18 Apr 2021
Ultra-High Dimensional Sparse Representations with Binarization for
  Efficient Text Retrieval
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval
Kyoung-Rok Jang
Junmo Kang
Giwon Hong
Sung-Hyon Myaeng
Joohee Park
Taewon Yoon
Heecheol Seo
39
20
0
15 Apr 2021
Low-skilled Occupations Face the Highest Upskilling Pressure
Low-skilled Occupations Face the Highest Upskilling Pressure
Di Tong
Lingfei Wu
James Allen Evans
32
1
0
27 Jan 2021
Cultural Cartography with Word Embeddings
Cultural Cartography with Word Embeddings
Dustin S. Stoltz
Marshall A. Taylor
23
38
0
09 Jul 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLT
AAML
39
147
0
20 May 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
43
46
0
24 Mar 2020
What do you mean, BERT? Assessing BERT as a Distributional Semantics
  Model
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model
Timothee Mickus
Denis Paperno
Mathieu Constant
Kees van Deemter
29
45
0
13 Nov 2019
Multi-sense Definition Modeling using Word Sense Decompositions
Multi-sense Definition Modeling using Word Sense Decompositions
Ruimin Zhu
Thanapon Noraset
Alisa Liu
Wenxin Jiang
Doug Downey
22
9
0
19 Sep 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Katikapalli Subramanyam Kalyan
S. Sangeetha
17
81
0
04 Mar 2019
Learning Gender-Neutral Word Embeddings
Learning Gender-Neutral Word Embeddings
Jieyu Zhao
Yichao Zhou
Zeyu Li
Wei Wang
Kai-Wei Chang
FaML
17
407
0
29 Aug 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic
  Structure
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
32
14
0
19 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with
  Applications to Molecules
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu
M. F. Demirel
Yingyu Liang
GNN
NAI
13
192
0
24 Jun 2018
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature
  Vectors
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
M. Khodak
Nikunj Saunshi
Yingyu Liang
Tengyu Ma
Brandon M Stewart
Sanjeev Arora
42
99
0
14 May 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information
  Networks
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Yu Shi
Huan Gui
Qi Zhu
Lance M. Kaplan
Jiawei Han
39
83
0
05 Mar 2018
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
Bridger Waleed Ammar
Chris Dyer
Eduard H. Hovy
24
30
0
08 May 2017
Geometry of Polysemy
Geometry of Polysemy
Jiaqi Mu
S. Bhat
Pramod Viswanath
25
21
0
24 Oct 2016
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,982
0
04 Mar 2010
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