Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1601.03764
Cited By
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
14 January 2016
Sanjeev Arora
Yuanzhi Li
Yingyu Liang
Tengyu Ma
Andrej Risteski
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Linear Algebraic Structure of Word Senses, with Applications to Polysemy"
36 / 36 papers shown
Title
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
Zhengfu He
J. Wang
Rui Lin
Xuyang Ge
Wentao Shu
Qiong Tang
Junzhe 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?
Yuhang Liu
Dong Gong
Erdun Gao
Zhen Zhang
Zhen Zhang
Biwei Huang
Anton van den Hengel
Javen Qinfeng Shi
Javen Qinfeng Shi
157
0
0
12 Mar 2025
Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism
Timo Aukusti Laine
39
1
0
09 Mar 2025
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
Jonathan Jacobi
Gal Niv
LRM
ReLM
60
0
0
03 Mar 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
49
0
0
15 Feb 2025
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
158
0
0
08 Feb 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
85
4
0
31 Dec 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
YuXuan Wu
Bonaventure F. P. Dossou
Dianbo Liu
MU
21
0
0
08 Oct 2024
On the Complexity of Neural Computation in Superposition
Micah Adler
Nir Shavit
115
3
0
05 Sep 2024
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
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin
Mohammad Taufeeque
Noah D. Goodman
32
27
0
26 Oct 2023
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
23
34
0
24 May 2023
Discovering Universal Geometry in Embeddings with ICA
Hiroaki Yamagiwa
Momose Oyama
Hidetoshi Shimodaira
25
13
0
22 May 2023
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
Anik Saha
Alex Gittens
B. Yener
10
1
0
20 Apr 2023
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
Jennifer C. White
Ryan Cotterell
DiffM
30
5
0
23 Nov 2022
To Know by the Company Words Keep and What Else Lies in the Vicinity
Jake Williams
H. Heidenreich
16
0
0
30 Apr 2022
From Pivots to Graphs: Augmented CycleDensity as a Generalization to One Time InverseConsultation
Shashwat Goel
K. Grover
25
2
0
27 Aug 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
28
19
0
22 Jul 2021
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
Feng Hou
Ruili Wang
Jun He
Yi Zhou
AI4TS
18
39
0
16 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSL
MLT
29
131
0
31 May 2021
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Arie Cattan
Sophie Johnson
Daniel S. Weld
Ido Dagan
Iz Beltagy
Doug Downey
Tom Hope
20
23
0
18 Apr 2021
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
31
20
0
15 Apr 2021
Low-skilled Occupations Face the Highest Upskilling Pressure
Di Tong
Lingfei Wu
James Allen Evans
24
0
0
27 Jan 2021
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
Zeyuan Allen-Zhu
Yuanzhi Li
MLT
AAML
29
147
0
20 May 2020
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
Timothee Mickus
Denis Paperno
Mathieu Constant
Kees van Deemter
21
45
0
13 Nov 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Katikapalli Subramanyam Kalyan
S. Sangeetha
17
82
0
04 Mar 2019
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
24
14
0
19 Jul 2018
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
36
98
0
14 May 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Yu Shi
Huan Gui
Qi Zhu
Lance M. Kaplan
Jiawei Han
19
83
0
05 Mar 2018
Geometry of Polysemy
Jiaqi Mu
S. Bhat
Pramod Viswanath
22
21
0
24 Oct 2016
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
84
2,980
0
04 Mar 2010
1