Overview

Subword tokenization studies how to divide text into reusable pieces that let language models handle unfamiliar words without treating every character as a separate unit. Common methods include frequency-based Byte Pair Encoding (BPE), probabilistic Unigram models, and approaches that incorporate morphology, syllables, scripts, or learned boundaries. Researchers compare tokenizers using compression and fertility measures, bits per byte, morphological alignment, multilingual benchmarks, and downstream language-model performance, since token choices affect context length, computation, and language coverage. A central tension is that compression-efficient segments do not always match linguistic structure or improve task performance, and token costs remain uneven across languages and writing systems.

Latest papers

CardsList

83 papers10 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion

    Apr 17, 2026Maitrey Mehta, Nishant Subramani, Zhichao Xu +2Multilingual Language ModelsSubword Tokenization

  2. Stochasticity in Tokenisation Improves Robustness

    Apr 17, 2026Sophie Steger, Rui Li, Sofiane Ennadir +4Adversarial Attacks on LLMsNeural Network Robustness

  3. A Triadic Suffix Tokenization Scheme for Numerical Reasoning

    Apr 13, 2026Olga ChetverinaTokenizationSubword Tokenization

  4. Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series

    Apr 12, 2026Krzysztof Ociepa, Łukasz Flis, Remigiusz Kinas +2Language ModelingSubword Tokenization

  5. HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval

    Apr 12, 2026Senol GulgonulTokenizationInformation Retrieval

  6. Faster Superword Tokenization

    Apr 6, 2026Craig W. Schmidt, Chris Tanner, Yuval PinterTokenizationSubword Tokenization

  7. MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models

    Mar 17, 2026Chen-Hao Chao, Wei-Fang Sun, Junwei Quan +2Commonsense ReasoningDiffusion Language Models

  8. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs

    Mar 16, 2026Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki +1Arabic NLPArabic Language Models

  9. ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

    Mar 3, 2026Chunyuan Deng, Sanket Lokegaonkar, Colin Lockard +3Language ModelingByte-Level Language Model

  10. GPUTOK: GPU Accelerated Byte Level BPE Tokenization

    Mar 3, 2026Venu Gopal Kadamba, Kanishkha JaisankarSubword TokenizationLLM Inference Acceleration

  11. Tokenization vs. Augmentation: A Systematic Study of Writer Variance in IMU-Based Online Handwriting Recognition

    Feb 25, 2026Jindong Li, Dario Zanca, Vincent Christlein +4Data AugmentationOnline Handwriting Recognition

  12. ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling

    Feb 17, 2026Nicol Visser, Simon Malan, Danel Slabbert +1Audio TokenizationSpeech Language Models

  13. You Can Learn Tokenization End-to-End with Reinforcement Learning

    Feb 15, 2026Sam Dauncey, Roger WattenhoferSubword TokenizationLLM Training

  14. TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior

    Dec 23, 2025Gül Sena Altıntaş, Malikeh Ehghaghi, Brian Lester +4Subword TokenizationTokenization in Language Models

  15. MoVoC: Morphology-Aware Subword Construction for Geez Script Languages Corrected version

    Sep 10, 2025Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang NejdlMorphology-Aware TokenizationSubword Tokenization

  16. Less Is More: Reducing Token Counts Without Compromising Performance

    Jun 18, 2025Gyeongje Cho, Yeonkyoung So, Sangmin Lee +1LLM Inference AccelerationToken Efficiency

  17. Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning

    Dec 14, 2024Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +9LLM InterpretabilityDistributional Semantics