Papers with source-primed’ method

1 papers
Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents (2025.findings-emnlp)

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Challenge: Document-level machine translations have paved the way for truly simple document-level translation, but challenges such as omission errors remain.
Approach: They propose a method for document-level machine translation that leverages previous contexts in a multi-turn conversational manner by decomposing documents into segments and iteratively translating them while maintaining previous turns.
Outcome: The proposed method outperforms translations of entire documents in a single turn and translations independently according to multiple automatic metrics in representative LLMs.

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