TokShop 2026

Deadlines
NLP/CORE Unranked

TokShop 2026

Second Tokenization Workshop

Oct 09 2026San Francisco, California, United StatesOfficial workshop site Site reachable

The Second Tokenization Workshop (TokShop) at COLM 2026 brings together researchers to explore tokenization—the process of converting raw data into discrete units—as a foundational component across machine learning domains. It focuses on innovations and challenges in tokenization for natural language, multimodal data (images, audio, video), and beyond, fostering cross-disciplinary dialogue on representation learning and model efficiency.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

June 27, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

June 27, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Research papers

Up to 9 pages not including references or appendices

Extended abstracts

Up to 2 pages

Research areas in scope

01

Topics of Interest

Subword TokenizationTokenization for Various ModalitiesMultilingual TokenizationTokenizer ModificationAlternative Approaches to Represent InputTokenization and Statistics

Policies worth checking twice

  • Paper submission is hosted on OpenReview
  • Use the provided LaTeX template; do not modify style files or use templates from other conferences
  • Papers must be anonymized and uploaded as a single PDF
  • References and appendices can be unlimited but reviewers are not required to read them
  • Posting on preprint servers like ArXiv is permitted
  • Review process is double-blind
  • Discussion of limitations and ethical/societal implications is encouraged but not required and does not count toward page limit

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026

TokShop 2026: deadlines, venue, and submission guide | COREXA