Multilingual Language Models

Overview

Multilingual language models study how systems can understand, reason, translate, and generate text across languages, including those with limited training data or distinct scripts. Common approaches include multilingual pretraining and data balancing, continued pretraining and instruction tuning, language-aware tokenization, and transfer methods such as shared representations, adapters, and mixture-of-experts models. Researchers evaluate performance with translation, comprehension, reasoning, and safety benchmarks, while probing internal representations and using inference-time steering to improve language control. A central tension is how to expand language coverage and transfer shared knowledge without degrading performance, reinforcing English or high-resource-language biases, or overlooking differences between languages and scripts.

Latest papers

CardsList

265 papers39 papers in the last four weeks, up 95% on the four weeks before. 0.2% of all new papers.

  1. Enhancing Multilingual Embeddings via Multi-Way Parallel Text Alignment

    Feb 25, 2026Barah Fazili, Koustava GoswamiCross-Lingual Representation AlignmentMultilingual Language Models

  2. MrBERT: Modern Multilingual Encoders via Vocabulary, Domain, and Dimensional Adaptation

    Feb 24, 2026Daniel Tamayo, Iñaki Lacunza, Paula Rivera-Hidalgo +4Multilingual Language ModelsLanguage Model Pretraining

  3. BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop

    Feb 23, 2026Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul +7Language Model PretrainingSmall Language Models

  4. Multilingual Large Language Models do not comprehend all natural languages to equal degrees

    Feb 23, 2026Natalia Moskvina, Raquel Montero, Masaya Yoshida +8Multilingual Language ModelsMultilingual Language Model Evaluation

  5. Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation

    Feb 18, 2026Jonathan Mutal, Perla Al Almaoui, Simon Hengchen +1Arabic NLPArabic Dialects

  6. Adaptive Engram Memory System for Indonesian Language Model: Generative AI Based on TOBA LM for Batak and Minang Language

    Feb 17, 2026Hokky Situngkir, Kevin Siringoringo, Andhika Bernard LumbantobingLanguage Model PretrainingMultilingual Language Models

  7. Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography

    Feb 16, 2026Gianluca Vico, Jindřich LibovickýTokenization in Language ModelsLow-Resource Language Processing

  8. Cross-Lingual Activation Steering for Multilingual Language Models

    Jan 23, 2026Rhitabrat Pokharel, Ameeta Agrawal, Tanay NagarMultilingual Language ModelsLanguage Model Steering

  9. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages

    Jan 10, 2026Hao Yu, Tianyi Xu, Michael A. Hedderich +3Language Model PretrainingMultilingual Language Models

  10. LMSpell: Spell Correction with Pre-Trained Language Models

    Dec 5, 2025Akesh Gunathilake, Nadil Karunarathna, Tharusha Bandaranayake +3Low-Resource Language ProcessingLanguage Model Post-Training

  11. AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda

    Nov 4, 2025Sravan Gorugantu, Mohd Nauman, Vijay Devane +7Medical LLMsHealthcare

  12. SinLlama -- A Large Language Model for Sinhala

    Aug 12, 2025H. W. K. Aravinda, Rashad Sirajudeen, Samith Karunathilake +3Language Model PretrainingMultilingual Language Models

  13. Sparse Autoencoders Can Capture Language-Specific Concepts Across Diverse Languages

    Jul 15, 2025Lyzander Marciano Andrylie, Inaya Rahmanisa, Mahardika Krisna Ihsani +3Multilingual Language ModelsRepresentation Learning

  14. NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance

    Jul 13, 2025Hanwool Lee, Sara Yu, Yewon Hwang +4Multilingual Language ModelsText Embeddings

  15. Language Specific Knowledge: Do Models Know Better in X than in English?

    May 21, 2025Ishika Agarwal, Nimet Beyza Bozdag, Dilek Hakkani-TürMultilingual Language ModelsMultilingual QA

  16. In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models

    Mar 3, 2025David Ponce, Thierry EtchegoyhenMultilingual Language ModelsMultilingual Language Model Evaluation

  17. Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian

    May 22, 2024Aleksandr Nikolich, Konstantin Korolev, Sergei Bratchikov +2Language Model PretrainingMultilingual Language Models