Papers with model co-design

1 papers
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models (2026.eacl-long)

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Challenge: Subword tokenization approaches misalign with linguistic structure and waste capacity across languages and domains.
Approach: They argue for a context-aware framework that integrates tokenizer and model co-design . they argue that tokenization should be treated as a core design problem, not an afterthought .
Outcome: The proposed framework integrates tokenizer and model co-design, guided by linguistic, domain, and deployment considerations.

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