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.
Proceedings of the AAAI Conference on Artificial Intelligence , author=
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G-IdiomAlign is a gloss-pivoted benchmark with multiple-choice and generation protocols for evaluating cross-lingual idiom alignment in LLMs.
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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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G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
G-IdiomAlign is a gloss-pivoted benchmark with multiple-choice and generation protocols for evaluating cross-lingual idiom alignment in LLMs.