On the new XMP parallel multi-party dialogue dataset, current multilingual LLMs generate low-quality responses; adding more or mixed-language training data yields only marginal, often negative, cross-lingual transfer.
In this setting, the model learns and infers based on English examples, effectively leveraging the provided data
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Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios
On the new XMP parallel multi-party dialogue dataset, current multilingual LLMs generate low-quality responses; adding more or mixed-language training data yields only marginal, often negative, cross-lingual transfer.