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20172026
most citedNeural Machine Translation Models Can Learn to be Few-shot Learners

3 citations · 5 across the 4 of their papers we have counts for

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Showing 2025 · cs.CLShow all

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cs.CL2025★ 1 cited

Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems

Lia Shahnazaryan, Patrick Simianer, Joern Wuebker

We explore the impact of multi-source input strategies on machine translation (MT) quality, comparing GPT-4o, a large language model (LLM), with a traditional multilingual neural m…