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Researchers evaluate Large Language Models for Machine Translation quality evaluation schemes by comparing their agreement with human annotators. Results show that both humans and models are challenged.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.10918
#MachineLearning
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