Evaluation across 1.1 million instances shows sycophancy rates spike in low-resource languages, remain topic-agnostic, and correlate with tokenizer fertility.
Improving Multilingual Models with Language-Clustered Vocabularies
2 Pith papers cite this work. Polarity classification is still indexing.
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Experiments show domain match and language relatedness drive knowledge transfer in multilingual MT more than vocabulary overlap.
citing papers explorer
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Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models
Evaluation across 1.1 million instances shows sycophancy rates spike in low-resource languages, remain topic-agnostic, and correlate with tokenizer fertility.
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The Impact of Vocabulary Overlaps on Knowledge Transfer in Multilingual Machine Translation
Experiments show domain match and language relatedness drive knowledge transfer in multilingual MT more than vocabulary overlap.