Introduces the AG-MG Parallel Corpus of 132k aligned pairs and benchmarks fine-tuning of NLLB, M2M100, and Llama-Krikri-8B models, reporting up to +10.3 BLEU improvement with a peak score of 13.16.
New trends in machine translation using large language models: Case examples with chatgpt,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Mix-MoE applies separate LM and MT expert groups in two post-pretraining stages with Fourier-enhanced routing to reduce parameter interference and improve multilingual MT over baselines.
citing papers explorer
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Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models
Introduces the AG-MG Parallel Corpus of 132k aligned pairs and benchmarks fine-tuning of NLLB, M2M100, and Llama-Krikri-8B models, reporting up to +10.3 BLEU improvement with a peak score of 13.16.
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Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs
Mix-MoE applies separate LM and MT expert groups in two post-pretraining stages with Fourier-enhanced routing to reduce parameter interference and improve multilingual MT over baselines.