
Second Tokenization Workshop (TokShop)
Description
The Second Tokenization Workshop (TokShop) at COLM 2026 aims to bring together researchers and practitioners from all corners of machine learning to explore tokenization in its broadest sense. We will discuss innovations, challenges, and future directions for tokenization across diverse data types and modalities. Topics of interest include subword tokenization techniques, techniques for various modalities, multilingual tokenization, tokenizer modification, alternative approaches to represent input, and tokenization and statistics.
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Meet the speakers

Sachin Kumar
Theme:The Ohio State University

Tomasz Limisiewicz
Theme:University of Washington, Meta

Valentin Hofmann
Theme:LMU Munich

Jindřich Libovický
Theme:Charles University

Jindřich Helcl
Theme:University of Oslo

Orevaoghene Ahia
Theme:University of Washington

Elizabeth Salesky
Theme:Google Deepmind

Yuki Asano
Theme:University of Technology Nuremberg

Yuval Pinter
Theme:Ben-Gurion University of the Negev










