Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems Insights from the MULTITAN-GML Team - Productions scientifiques du CLILLAC-ARP
Conference Poster Year : 2024

Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems Insights from the MULTITAN-GML Team

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Linguistics Artificial Intelligence [cs.AI] Document and Text Processing
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Lichao Zhu  : Connect in order to contact the contributor

https://hal.science/hal-04781595

Submitted on : Wednesday, November 13, 2024-7:04:38 PM

Last modification on : Thursday, November 28, 2024-3:21:34 AM

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hal-04781595 , version 1 (13-11-2024)

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Lichao Zhu, Maria Zimina-Poirot, Behnoosh Namdarzadeh, Nicolas Ballier, Jean-Baptiste Yunès. Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems Insights from the MULTITAN-GML Team. Ninth Conference on Machine Translation, Nov 2024, Miami (Floride), United States. ⟨hal-04781595⟩

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