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Analogies Explained: Towards Understanding Word Embeddings
v1v2 (latest)

Analogies Explained: Towards Understanding Word Embeddings

28 January 2019
Carl Allen
Timothy M. Hospedales
ArXiv (abs)PDFHTML

Papers citing "Analogies Explained: Towards Understanding Word Embeddings"

50 / 77 papers shown
Quick-CapsNet (QCN): A fast alternative to Capsule Networks
Quick-CapsNet (QCN): A fast alternative to Capsule NetworksACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2020
Pouya Shiri
Ramin Sharifi
A. Baniasadi
3DPC
199
1
0
08 Oct 2025
Mixture of Detectors: A Compact View of Machine-Generated Text Detection
Mixture of Detectors: A Compact View of Machine-Generated Text Detection
Sai Teja Lekkala
Yadagiri Annepaka
Arun Kumar Challa
Samatha Reddy Machireddy
Partha Pakray
Chukhu Chunka
DeLMO
236
0
0
26 Sep 2025
AITEE -- Agentic Tutor for Electrical Engineering
AITEE -- Agentic Tutor for Electrical Engineering
Christopher Knievel
Alexander Bernhardt
Christian Bernhardt
250
3
0
27 May 2025
On the Emergence of Linear Analogies in Word Embeddings
On the Emergence of Linear Analogies in Word Embeddings
Daniel J. Korchinski
Dhruva Karkada
Yasaman Bahri
Matthieu Wyart
308
5
0
24 May 2025
Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations
Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations
Yize Zhao
Christos Thrampoulidis
333
0
0
13 May 2025
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations
Yize Zhao
Tina Behnia
V. Vakilian
Christos Thrampoulidis
469
23
0
20 Feb 2025
The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support
The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health SupportWorkshop on Computational Linguistics and Clinical Psychology (CLPsych), 2024
Alessandro De Grandi
Federico Ravenda
Andrea Raballo
Fabio Crestani
AI4MH
293
2
0
31 Dec 2024
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language ModelingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
495
10
0
30 Oct 2024
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating ProcessInternational Conference on Learning Representations (ICLR), 2024
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSLOODBDLDRL
725
22
0
29 Oct 2024
Any four real numbers are on all fours with analogy
Any four real numbers are on all fours with analogy
Yves Lepage
Miguel Couceiro
225
1
0
26 Jul 2024
Compositional Structures in Neural Embedding and Interaction
  Decompositions
Compositional Structures in Neural Embedding and Interaction Decompositions
Matthew Trager
Alessandro Achille
Pramuditha Perera
Luca Zancato
Stefano Soatto
CoGe
416
1
0
12 Jul 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher
  Models Empower Student Models?
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
Siyu Yuan
Cheng Jiayang
Lin Qiu
Deqing Yang
AI4EdELM
263
5
0
17 Jun 2024
Generating Human Understandable Explanations for Node Embeddings
Generating Human Understandable Explanations for Node Embeddings
Zohair Shafi
Ayan Chatterjee
Tina Eliassi-Rad
285
1
0
11 Jun 2024
Optimal synthesis embeddings
Optimal synthesis embeddings
Roberto Santana
M. R. Sicre
194
0
0
10 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
PaCE: Parsimonious Concept Engineering for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
D. Thaker
Aditya Chattopadhyay
Chris Callison-Burch
René Vidal
CVBM
300
17
0
06 Jun 2024
Predicting drug-gene relations via analogy tasks with word embeddings
Predicting drug-gene relations via analogy tasks with word embeddings
Hiroaki Yamagiwa
Ryoma Hashimoto
Kiwamu Arakane
Ken Murakami
Shou Soeda
Momose Oyama
Yihua Zhu
Mariko Okada
Hidetoshi Shimodaira
482
2
0
03 Jun 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
653
96
0
03 Jun 2024
"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation
"Hunt Takes Hare": Theming Games Through Game-Word Vector TranslationInternational Conference on Foundations of Digital Games (FDG), 2024
Younès Rabii
Michael Cook
77
0
0
16 May 2024
On the Origins of Linear Representations in Large Language Models
On the Origins of Linear Representations in Large Language Models
Yibo Jiang
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
Victor Veitch
307
61
0
06 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
842
19
0
06 Mar 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
887
213
0
05 Mar 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning
  and Foundation Models
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran
Simon Buchholz
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
AI4CE
467
33
0
14 Feb 2024
A Probabilistic Model behind Self-Supervised Learning
A Probabilistic Model behind Self-Supervised Learning
Alice Bizeul
Bernhard Schölkopf
Carl Allen
SSL
390
4
0
02 Feb 2024
ProTIP: Progressive Tool Retrieval Improves Planning
ProTIP: Progressive Tool Retrieval Improves Planning
R. Anantha
Bortik Bandyopadhyay
Anirudh Kashi
Sayantan Mahinder
Andrew W Hill
Srinivas Chappidi
148
11
0
16 Dec 2023
FAME: Flexible, Scalable Analogy Mappings Engine
FAME: Flexible, Scalable Analogy Mappings EngineConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shahar Jacob
Chen Shani
Dafna Shahaf
271
4
0
03 Nov 2023
Uncovering Meanings of Embeddings via Partial Orthogonality
Uncovering Meanings of Embeddings via Partial OrthogonalityNeural Information Processing Systems (NeurIPS), 2023
Yibo Jiang
Bryon Aragam
Victor Veitch
353
18
0
26 Oct 2023
On the Properties and Estimation of Pointwise Mutual Information
  Profiles
On the Properties and Estimation of Pointwise Mutual Information Profiles
Paweł Czyż
Frederic Grabowski
Julia E. Vogt
N. Beerenwinkel
Alexander Marx
294
6
0
16 Oct 2023
Why bother with geometry? On the relevance of linear decompositions of
  Transformer embeddings
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023
Timothee Mickus
Ananda Sreenidhi
257
3
0
10 Oct 2023
RelBERT: Embedding Relations with Language Models
RelBERT: Embedding Relations with Language ModelsArtificial Intelligence (AIJ), 2023
Asahi Ushio
Jose Camacho-Collados
Steven Schockaert
KELM
363
3
0
30 Sep 2023
Context-Aware Composition of Agent Policies by Markov Decision Process
  Entity Embeddings and Agent Ensembles
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles
Nicole Merkle
Ralf Mikut
230
4
0
28 Aug 2023
Bidirectional Attention as a Mixture of Continuous Word Experts
Bidirectional Attention as a Mixture of Continuous Word ExpertsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Kevin Christian Wibisono
Yixin Wang
MoE
259
0
0
08 Jul 2023
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
Contrastive Loss is All You Need to Recover Analogies as Parallel LinesWorkshop on Representation Learning for NLP (RepL4NLP), 2023
Narutatsu Ri
Fei-Tzin Lee
Nakul Verma
183
3
0
14 Jun 2023
Simulating News Recommendation Ecosystem for Fun and Profit
Simulating News Recommendation Ecosystem for Fun and Profit
Guangping Zhang
Dongsheng Li
Hansu Gu
Tun Lu
Li Shang
Ning Gu
240
1
0
23 May 2023
Word Embeddings Are Steers for Language Models
Word Embeddings Are Steers for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chi Han
Jialiang Xu
Pengfei Yu
Yi R. Fung
Chenkai Sun
Nan Jiang
Tarek Abdelzaher
Heng Ji
LLMSV
444
83
0
22 May 2023
Beneath Surface Similarity: Large Language Models Make Reasonable
  Scientific Analogies after Structure Abduction
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure AbductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Siyu Yuan
Jiangjie Chen
Xuyang Ge
Yanghua Xiao
Deqing Yang
390
13
0
22 May 2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A
  Million-scale Knowledge Base
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge BaseAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Siyu Yuan
Jiangjie Chen
Changzhi Sun
Jiaqing Liang
Yanghua Xiao
Deqing Yang
366
25
0
10 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?The Web Conference (WWW), 2023
Da Xu
Bo Yang
309
5
0
09 Apr 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language
  Models
Linear Spaces of Meanings: Compositional Structures in Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Matthew Trager
Pramuditha Perera
Luca Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
CoGe
391
50
0
28 Feb 2023
A Scalable Space-efficient In-database Interpretability Framework for
  Embedding-based Semantic SQL Queries
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries
P. Kudva
R. Bordawekar
Apoorva Nitsure
390
0
0
23 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Concept Algebra for (Score-Based) Text-Controlled Generative ModelsNeural Information Processing Systems (NeurIPS), 2023
Zihao Wang
Lin Gui
Jeffrey Negrea
Victor Veitch
CoGeDiffM
724
68
0
07 Feb 2023
Norm of Word Embedding Encodes Information Gain
Norm of Word Embedding Encodes Information GainConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Momose Oyama
Sho Yokoi
Hidetoshi Shimodaira
342
24
0
19 Dec 2022
VASR: Visual Analogies of Situation Recognition
VASR: Visual Analogies of Situation RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2022
Yonatan Bitton
Ron Yosef
Eli Strugo
Dafna Shahaf
Roy Schwartz
Gabriel Stanovsky
300
27
0
08 Dec 2022
On the Complexity of Bayesian Generalization
On the Complexity of Bayesian GeneralizationInternational Conference on Machine Learning (ICML), 2022
Yuge Shi
Manjie Xu
John E. Hopcroft
Kun He
J. Tenenbaum
Song-Chun Zhu
Ying Nian Wu
Wenjuan Han
Yixin Zhu
420
6
0
20 Nov 2022
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep ModelsACM Computing Surveys (ACM CSUR), 2022
Julia El Zini
M. Awad
313
119
0
13 Oct 2022
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
Ido Benbaji
Omri Doron
Adèle Hénot-Mortier
171
1
0
11 Aug 2022
Style-Content Disentanglement in Language-Image Pretraining
  Representations for Zero-Shot Sketch-to-Image Synthesis
Style-Content Disentanglement in Language-Image Pretraining Representations for Zero-Shot Sketch-to-Image Synthesis
Jan Zuiderveld
DRL
234
1
0
03 Jun 2022
From Hyperbolic Geometry Back to Word Embeddings
From Hyperbolic Geometry Back to Word EmbeddingsWorkshop on Representation Learning for NLP (RepL4NLP), 2022
Sultan Nurmukhamedov
T. Mach
A. Sheverdin
Z. Assylbekov
101
0
0
26 Apr 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing PerspectiveFindings (Findings), 2022
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
255
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26 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
367
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18 Apr 2022
Compositional Clustering: Applications to Multi-Label Object Recognition
  and Speaker Identification
Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker IdentificationPattern Recognition (Pattern Recogn.), 2021
Zeqian Li
Xinlu He
Jacob Whitehill
387
11
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