Do Multilingual LLMs Think In English?
On the map: LLM reasoning → Reasoning benchmarks and evaluation
Abstract (arXiv)
Large language models (LLMs) have multilingual capabilities and can solve tasks across various languages. However, we show that current LLMs make key decisions in a representation space closest to English, regardless of their input and output languages. Exploring the internal representations with a logit lens for sentences in French, German, Dutch, and Mandarin, we show that the LLM first emits representations close to English for semantically-loaded words before translating them into the target language. We further show that activation steering in these LLMs is more effective when the steering vectors are computed in English rather than in the language of the inputs and outputs. This suggests that multilingual LLMs perform key reasoning steps in a representation that is heavily shaped by English in a way that is not transparent to system users.
Key facts. Cited by 78 papers in the map (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 34 of its 49 references that are in the map. First posted on arXiv 21 Feb 2025.
Builds on
34 of 49 references.
Closest ancestors · 6
Same direction, newest first
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- 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity8 Feb
Other references · 28
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- 2023Dissecting Recall of Factual Associations in Auto-Regressive Language Modelscited by 528
- 2020How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Modelscited by 318
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- 2023Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Modelscited by 243
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- 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Modelscited by 235
- 2022Extracting Latent Steering Vectors from Pretrained Language Modelscited by 225
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- 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Modelscited by 153
- 2024Analyzing the Generalization and Reliability of Steering Vectorscited by 143
- 2020When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Modelscited by 131
- 2023Future Lens: Anticipating Subsequent Tokens from a Single Hidden Statecited by 121
- 2024Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilitiescited by 111
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- 2024Understanding and Mitigating Language Confusion in LLMscited by 75
- 2023Extrapolating Large Language Models to Non-English by Aligning Languagescited by 69
- 2024The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalitiescited by 69
- 2025Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languagescited by 59
- 2024Who's asking? User personas and the mechanics of latent misalignmentcited by 40
- 2024Benchmarking Linguistic Diversity of Large Language Modelscited by 38
- 2024LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMscited by 33
- 2024Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScorecited by 18
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- 2026Rethinking the Multilingual Reasoning Gap with Layer Swap26 May 2026
- 2026Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning13 Jan 2026
- 2025The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles2 Nov 2025
- 2025The Homogenizing Effect of Large Language Models on Human Expression and Thought2 Aug 2025
- 2025What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations27 Jul 2025
- 2025Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning7 Jul 2025
- 2025Under the Shadow of Babel: How Language Shapes Reasoning in LLMs19 Jun 2025
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- 2026A Systematic Comparison of Multilingual Interpretability Methods Reveals Anisotropy-Driven Failures4 Sep 2026
- 2026Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens1 Sep 2026
- 2026Separating Syntax from Language: A Mechanistic Account of Translation in Multilingual LLMs1 Sep 2026
- 2026Cross-lingual Functional Vectors for Emotion Detection in Large Language Models30 Aug 2026
- 2026GADR: Gathering Architecture Decision Records from Meeting Transcriptions18 Aug 2026
- 2026An Investigation of Translationese in the Generations of Multilingual Large Language Models18 Aug 2026
- 2026LLMs Get Smarter from Targeted Synthetic Multilingual Data16 Aug 2026
- 2026Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection31 Jul 2026
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