TokAlign++ learns token alignments between LLM vocabularies from monolingual representations to enable faster adaptation, better text compression, and effective token-level distillation across 15 languages with minimal steps.
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Proxy compression trains language models on both raw bytes and compressed sequences to enable efficient training with raw-byte inference at test time.
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TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment
TokAlign++ learns token alignments between LLM vocabularies from monolingual representations to enable faster adaptation, better text compression, and effective token-level distillation across 15 languages with minimal steps.
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Proxy Compression for Language Modeling
Proxy compression trains language models on both raw bytes and compressed sequences to enable efficient training with raw-byte inference at test time.