The Geometry of Multilingual Language Model Representations
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Abstract (arXiv)
We assess how multilingual language models maintain a shared multilingual representation space while still encoding language-sensitive information in each language. Using XLM-R as a case study, we show that languages occupy similar linear subspaces after mean-centering, evaluated based on causal effects on language modeling performance and direct comparisons between subspaces for 88 languages. The subspace means differ along language-sensitive axes that are relatively stable throughout middle layers, and these axes encode information such as token vocabularies. Shifting representations by language means is sufficient to induce token predictions in different languages. However, we also identify stable language-neutral axes that encode information such as token positions and part-of-speech. We visualize representations projected onto language-sensitive and language-neutral axes, identifying language family and part-of-speech clusters, along with spirals, toruses, and curves representing token position information. These results demonstrate that multilingual language models encode information along orthogonal language-sensitive and language-neutral axes, allowing the models to extract a variety of features for downstream tasks and cross-lingual transfer learning.
Key facts. Cited by 94 papers in the map (data through 7 Oct 2026). Builds on 22 of its 41 references that are in the map. First posted on arXiv 22 May 2022.
Builds on
22 of 41 references.
References · 22
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
- 2019BERT Rediscovers the Classical NLP Pipelinecited by 1,046
- 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 738
- 2019How multilingual is Multilingual BERT?cited by 642
- 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 269
- 2020XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generationcited by 221
- 2020Are All Languages Created Equal in Multilingual BERT?cited by 206
- 2019Emerging Cross-lingual Structure in Pretrained Language Modelscited by 180
- 2019The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectivescited by 139
10 more
- 2020Multilingual Alignment of Contextual Word Representationscited by 113
- 2020Finding Universal Grammatical Relations in Multilingual BERTcited by 108
- 2020On the Language Neutrality of Pre-trained Multilingual Representationscited by 82
- 2019Investigating Multilingual NMT Representations at Scalecited by 68
- 2020Inducing Language-Agnostic Multilingual Representationscited by 48
- 2020Probing Multilingual BERT for Genetic and Typological Signalscited by 26
- 2021An Isotropy Analysis in the Multilingual BERT Embedding Spacecited by 25
- 2020Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Studycited by 24
- 2020What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological propertiescited by 23
- 2021Locating Language-Specific Information in Contextualized Embeddingscited by 6
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Citing papers per year: 2022: 1; 2023: 17; 2024: 24; 2025: 22; 2026: 30.
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- 2026Where Do Multilingual Vision-Language Encoders Fail on Low-Resource Languages?31 Aug 2026
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- 2025Language Surgery in Multilingual Large Language Models14 Jun 2025
- 2025Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models12 Jun 2025
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- 2025What's in a prompt? Language models encode literary style in prompt embeddings19 May 2025
- 2025Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations18 Apr 2025
- 2025What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure16 Apr 2025
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- 2023The Linear Representation Hypothesis and the Geometry of Large Language Modelscited by 679
- 2024The Geometry of Categorical and Hierarchical Concepts in Large Language Modelscited by 151
- 2023Language Model Behavior: A Comprehensive Surveycited by 92
- 2024On the Origins of Linear Representations in Large Language Modelscited by 76
- 2023Multilingual LLMs are Better Cross-lingual In-context Learners with Alignmentcited by 71
- 2025Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languagescited by 57
- 2023Latent Space Translation via Semantic Alignmentcited by 46
- 2025The Origins of Representation Manifolds in Large Language Modelscited by 46
- 2026When Models Manipulate Manifolds: The Geometry of a Counting Taskcited by 43
- 2025Refusal Direction is Universal Across Safety-Aligned Languagescited by 37
- 2024Understanding Cross-Lingual Alignment -- A Surveycited by 34
- 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 26
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- 2026Beetle: A Bilingual Model Suite for Modelling Second-Language Processing18 Sep 2026
- 2026Target-Language Generation in Multilingual Models: Activation Steering and Optimal Control15 Sep 2026
- 2026Cross-Lingual Representation Alignment by Token-Level Optimal Transport in a Language-Agnostic Space6 Sep 2026
- 2026Where Do Multilingual Vision-Language Encoders Fail on Low-Resource Languages?31 Aug 2026
- 2026Cross-Lingual Alignment Without Joint Training: Do Monolingual Language Models Converge on Universal Representations?27 Aug 2026
- 2026Analyzing and Mitigating Cross-Lingual Degradation in Multilingual Medical VQA23 Aug 2026
- 2026There is No Theoretical Curse of Multilinguality For Embedding Space Structure17 Aug 2026
- 2026Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference5 Aug 2026
- 2026An Analysis of Residual-Stream Geometry Across Transformer Depth20 Jul 2026
- 2026When Language Representations Interact: Separability and Cross-Lingual Effects in LLMs12 Jun 2026
- 2026Adversarial Concept Search: Predicting Compositional Errors From Feature Geometry11 Jun 2026
- 2026Multilingual Fine-Tuning via Localized Gradient Conflict Resolution4 Jun 2026
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