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Literal translation biases dominate idiom translation in LLMs, but glosses can significantly enhance generation quality, revealing critical gaps in current models.
Injecting image-derived semantics into LLMs dramatically improves their ability to detect AI-generated Chinese poetry, surpassing even specialized text-based detectors.
