What is recorded here?
Constructed modular BPE/Unigram tokenizers with extractable language-specific subtokenizers and trained language models using sampled vocabulary subsets to support smaller inference-time output matrices.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits BPE/Unigram and vocabulary adaptation. Compression parity and efficiency are empirical for studied languages/tasks; selecting a language subset does not ensure all cross-language capabilities or eliminate training costs.
Read the original work
- To Each Language Its Tokenizer: Modular Tokenizers for Efficient Multilingual LLMs
- Kyutai scientific publications index
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People and systems
Franck Signe; Hippolyte Pilchen; François Yvon; Édouard Grave
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Modular multilingual tokenizers and vocabulary-subset training
Constructed modular BPE/Unigram tokenizers with extractable language-specific subtokenizers and trained language models using sampled vocabulary subsets to support smaller inference-time output matrices.
Scientific scope
Inherits BPE/Unigram and vocabulary adaptation. Compression parity and efficiency are empirical for studied languages/tasks; selecting a language subset does not ensure all cross-language capabilities or eliminate training costs.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Franck Signe; Hippolyte Pilchen; François Yvon; Édouard Grave
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.