Relation Geometry in Semantic Space of Language Models | Paper Citation Record

Observation 3bfe5bf1-22d7-47a6-8973-6489ee7eb190 · outbound

This paper cites No clues good clues: out of context Lexical Relation Classification.

Relation Geometry in Semantic Space of Language Models No clues good clues: out of context Lexical Relation Classification

Reference 1

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Observation 15a812a3-8e7b-434b-ab67-ea994a7bf9f9 · outbound

This paper cites Inclusive yet Selective: Supervised Distributional Hypernymy Detection.

Relation Geometry in Semantic Space of Language Models Inclusive yet Selective: Supervised Distributional Hypernymy Detection

Reference 3

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This paper cites Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics.

Relation Geometry in Semantic Space of Language Models Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics

Reference 4

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This paper cites Introducing Orthogonal Constraint in Structural Probes.

Relation Geometry in Semantic Space of Language Models Introducing Orthogonal Constraint in Structural Probes

Reference 5

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This paper cites P ro SA : Assessing and Understanding the Prompt Sensitivity of LLM s.

Relation Geometry in Semantic Space of Language Models P ro SA : Assessing and Understanding the Prompt Sensitivity of LLM s

Reference 6

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This paper cites What Don ' t RNN Language Models Learn About Filler-Gap Dependencies?.

Relation Geometry in Semantic Space of Language Models What Don ' t RNN Language Models Learn About Filler-Gap Dependencies?

Reference 7

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This paper cites Computational Linguistics , author =.

Relation Geometry in Semantic Space of Language Models Computational Linguistics , author =

Reference 8

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This paper cites Frontiers of Computer Science , author =.

Relation Geometry in Semantic Space of Language Models Frontiers of Computer Science , author =

Reference 9

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This paper cites A Survey on Diffusion Language Models.

Relation Geometry in Semantic Space of Language Models A Survey on Diffusion Language Models

Reference 10

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This paper cites Large Language Diffusion Models.

Relation Geometry in Semantic Space of Language Models Large Language Diffusion Models

Reference 11

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This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Relation Geometry in Semantic Space of Language Models Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 12

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This paper cites Word , author =.

Relation Geometry in Semantic Space of Language Models Word , author =

Reference 13

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Relation Geometry in Semantic Space of Language Models Unresolved cited work

Reference 14

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Observation ee44c565-fdf2-4d4b-a62a-869dc5b43462 · outbound

This paper cites The Vector Grounding Problem , journal =.

Relation Geometry in Semantic Space of Language Models The Vector Grounding Problem , journal =

Reference 15

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This paper cites Physica D: Nonlinear Phenomena , volume =.

Relation Geometry in Semantic Space of Language Models Physica D: Nonlinear Phenomena , volume =

Reference 16

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This paper cites The Italian Journal of Linguistics , year=.

Relation Geometry in Semantic Space of Language Models The Italian Journal of Linguistics , year=

Reference 17

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This paper cites Weinberger and Yoav Artzi , title =.

Relation Geometry in Semantic Space of Language Models Weinberger and Yoav Artzi , title =

Reference 18

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This paper cites A Fine-Grained Analysis of BERTS core.

Relation Geometry in Semantic Space of Language Models A Fine-Grained Analysis of BERTS core

Reference 19

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This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Relation Geometry in Semantic Space of Language Models CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 20

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This paper cites Neural Word Embedding as Implicit Matrix Factorization , url =.

Relation Geometry in Semantic Space of Language Models Neural Word Embedding as Implicit Matrix Factorization , url =

Reference 21

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This paper cites and Furnas, George W.

Relation Geometry in Semantic Space of Language Models and Furnas, George W

Reference 22

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This paper cites Attention is All you Need , url =.

Relation Geometry in Semantic Space of Language Models Attention is All you Need , url =

Reference 23

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This paper cites Learning Phrase Representations using RNN Encoder -- Decoder for Statistical Machine Translation.

Relation Geometry in Semantic Space of Language Models Learning Phrase Representations using RNN Encoder -- Decoder for Statistical Machine Translation

Reference 24

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This paper cites A Neural Probabilistic Language Model , url =.

Relation Geometry in Semantic Space of Language Models A Neural Probabilistic Language Model , url =

Reference 25

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This paper cites Discover Computing , author =.

Relation Geometry in Semantic Space of Language Models Discover Computing , author =

Reference 26

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Relation Geometry in Semantic Space of Language Models 2024 , pages =

Reference 27

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This paper cites Does BERT Know that the IS -A Relation Is Transitive?.

Relation Geometry in Semantic Space of Language Models Does BERT Know that the IS -A Relation Is Transitive?

Reference 28

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This paper cites Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy.

Relation Geometry in Semantic Space of Language Models Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy

Reference 29

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This paper cites Bridging Perception, Memory, and Inference through Semantic Relations.

Relation Geometry in Semantic Space of Language Models Bridging Perception, Memory, and Inference through Semantic Relations

Reference 30

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This paper cites Inspecting the concept knowledge graph encoded by modern language models.

Relation Geometry in Semantic Space of Language Models Inspecting the concept knowledge graph encoded by modern language models

Reference 31

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This paper cites R eliable E val: A Recipe for Stochastic LLM Evaluation via Method of Moments.

Relation Geometry in Semantic Space of Language Models R eliable E val: A Recipe for Stochastic LLM Evaluation via Method of Moments

Reference 32

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This paper cites How Do LLM s Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training.

Relation Geometry in Semantic Space of Language Models How Do LLM s Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training

Reference 33

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This paper cites The quasi-semantic competence of LLMs: a case study on the part-whole relation.

Relation Geometry in Semantic Space of Language Models The quasi-semantic competence of LLMs: a case study on the part-whole relation

Reference 34

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This paper cites On the Distinctive Co-occurrence Characteristics of Antonymy.

Relation Geometry in Semantic Space of Language Models On the Distinctive Co-occurrence Characteristics of Antonymy

Reference 35

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Relation Geometry in Semantic Space of Language Models Unresolved cited work

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Relation Geometry in Semantic Space of Language Models Language Resources and Evaluation , year =

Reference 37

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Relation Geometry in Semantic Space of Language Models and Wiersma, William and Jurs, Stephen G

Reference 38

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This paper cites The Corpus of Contemporary American English (COCA).

Relation Geometry in Semantic Space of Language Models The Corpus of Contemporary American English (COCA)

Reference 39

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Relation Geometry in Semantic Space of Language Models Global WordNet Conference 2025 , year =

Reference 40

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This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Relation Geometry in Semantic Space of Language Models The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 41

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This paper cites Scaling Laws for Neural Language Models.

Relation Geometry in Semantic Space of Language Models Scaling Laws for Neural Language Models

Reference 42

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Relation Geometry in Semantic Space of Language Models and Chaffin, Roger and Herrmann, Douglas

Reference 43

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Relation Geometry in Semantic Space of Language Models and Bousfield, Weston A

Reference 44

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This paper cites Where Partonomies and Taxonomies Meet.

Relation Geometry in Semantic Space of Language Models Where Partonomies and Taxonomies Meet

Reference 45

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Relation Geometry in Semantic Space of Language Models Possessives in English: An Exploration in Cognitive Grammar

Reference 46

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Relation Geometry in Semantic Space of Language Models Alan Cruse

Reference 47

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Relation Geometry in Semantic Space of Language Models Alan Cruse

Reference 48

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Relation Geometry in Semantic Space of Language Models Noms collectifs et méronymie

Reference 49

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Relation Geometry in Semantic Space of Language Models Wieso ist ein Kollektivum ein Kollektivum? Zentrum und Peripherieeiner Kategorie am Beispiel des Spanischen

Reference 50

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Relation Geometry in Semantic Space of Language Models Unresolved cited work

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Relation Geometry in Semantic Space of Language Models Measuring the Reliability of Qualitative Text Analysis Data

Reference 52

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This paper cites Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , pages =.

Relation Geometry in Semantic Space of Language Models Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , pages =

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Relation Geometry in Semantic Space of Language Models Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018) , year=

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Relation Geometry in Semantic Space of Language Models Nelson (Winthrop Nelson) and Twaddell, W

Reference 55

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Relation Geometry in Semantic Space of Language Models Language Models are Few-Shot Learners

Reference 56

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Relation Geometry in Semantic Space of Language Models Probing Classifiers: Promises, Shortcomings, and Advances

Reference 57

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Relation Geometry in Semantic Space of Language Models The Analysis of Synonymy and Antonymy in Discourse Relations: An Interpretable Modeling Approach

Reference 58

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This paper cites A Semantic Approach to Recognizing Textual Entailment.

Relation Geometry in Semantic Space of Language Models A Semantic Approach to Recognizing Textual Entailment

Reference 59

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Relation Geometry in Semantic Space of Language Models Unresolved cited work

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This paper cites Simplifying Lexical Simplification: Do We Need Simplified Corpora?.

Relation Geometry in Semantic Space of Language Models Simplifying Lexical Simplification: Do We Need Simplified Corpora?

Reference 61

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Relation Geometry in Semantic Space of Language Models Miller and Christiane Fellbaum

Reference 62

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Relation Geometry in Semantic Space of Language Models Antonym order in English and Chinese coordinate structures , url =

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Relation Geometry in Semantic Space of Language Models Co-Occurrence and Antonymy

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Relation Geometry in Semantic Space of Language Models Justeson and Slava M

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Relation Geometry in Semantic Space of Language Models Antonymy:

Reference 68

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Relation Geometry in Semantic Space of Language Models Biometrical Journal , volume =

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Relation Geometry in Semantic Space of Language Models How Do Large Language Models Acquire Factual Knowledge During Pretraining? , url =

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Relation Geometry in Semantic Space of Language Models The Thirteenth International Conference on Learning Representations , year=

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Relation Geometry in Semantic Space of Language Models Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations

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Relation Geometry in Semantic Space of Language Models Antonym sequence in written discourse: a corpus-based study

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Relation Geometry in Semantic Space of Language Models On Log-Likelihood-Ratios and the Significance of Rare Events

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Relation Geometry in Semantic Space of Language Models Corpora and collocations , volume =

Reference 75

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Relation Geometry in Semantic Space of Language Models Accurate Methods for the Statistics of Surprise and Coincidence

Reference 76

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Relation Geometry in Semantic Space of Language Models An in-depth look into the co-occurrence distribution of semantic associates , volume =

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Relation Geometry in Semantic Space of Language Models Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection

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Reference 79

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Relation Geometry in Semantic Space of Language Models Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Reference 80

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Relation Geometry in Semantic Space of Language Models A New Formulation of Z ipf ' s Meaning-Frequency Law through Contextual Diversity

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Relation Geometry in Semantic Space of Language Models Analysis and Evaluation of Language Models for Word Sense Disambiguation

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Relation Geometry in Semantic Space of Language Models Towards Understanding Linear Word Analogies

Reference 83

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Relation Geometry in Semantic Space of Language Models Identifying Linear Relational Concepts in Large Language Models

Reference 84

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Relation Geometry in Semantic Space of Language Models Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning

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Relation Geometry in Semantic Space of Language Models Proceedings of the 40th International Conference on Machine Learning , articleno =

Reference 86

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Relation Geometry in Semantic Space of Language Models 1975 , issn =

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Relation Geometry in Semantic Space of Language Models Cognitive representations of semantic categories

Reference 88

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Reference 89

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Relation Geometry in Semantic Space of Language Models Antonymy and Canonicity: Experimental and Distributional Evidence

Reference 90

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Relation Geometry in Semantic Space of Language Models Good and Bad Opposites: Using Textual and Experimental Techniques to Measure Antonym Canonicity

Reference 91

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Relation Geometry in Semantic Space of Language Models Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models , url =

Reference 92

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Relation Geometry in Semantic Space of Language Models and Leacock, Claudia and Tengi, Randee and Bunker, Ross T

Reference 93

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Relation Geometry in Semantic Space of Language Models Psychological Methods , author =

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Relation Geometry in Semantic Space of Language Models Do Supervised Distributional Methods Really Learn Lexical Inference Relations?

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Relation Geometry in Semantic Space of Language Models Transparency Helps Reveal When Language Models Learn Meaning

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Relation Geometry in Semantic Space of Language Models What Does BERT Learn about the Structure of Language?

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Relation Geometry in Semantic Space of Language Models Linguistic Blind Spots of Large Language Models

Reference 98

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Relation Geometry in Semantic Space of Language Models 2024 , issue_date =

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Relation Geometry in Semantic Space of Language Models Translating Embeddings for Modeling Multi-relational Data , url =

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Reference 101

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