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Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?

, , , , , and . CoRR, (2024)

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To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization., and . CCL, volume 13603 of Lecture Notes in Computer Science, page 133-146. Springer, (2022)A Unified Model for Reverse Dictionary and Definition Modelling., and . AACL/IJCNLP (2), page 8-13. Association for Computational Linguistics, (2022)Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca., , , , and . CoRR, (2023)The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task., , , , , , , , and . WMT@EMNLP, page 104-109. Association for Computational Linguistics, (2021)Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models?, and . CoRR, (2024)HPLT's First Release of Data and Models., , , , , , , , , and 2 other author(s). EAMT (2), page 53-54. European Association for Machine Translation (EAMT), (2024)Cher at KSAA-CAD 2024: Compressing Words and Definitions into the Same Space for Arabic Reverse Dictionary., , and . ArabicNLP, page 686-691. Association for Computational Linguistics, (2024)Large Language Model Inference with Lexical Shortlisting., , , and . CoRR, (2023)The University of Edinburgh's Bengali-Hindi Submissions to the WMT21 News Translation Task., , , and . WMT@EMNLP, page 180-186. Association for Computational Linguistics, (2021)Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task., and . PACLIC, page 600-606. De La Salle University, (2022)