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Found 4 papers, 1 papers with code
Finding Replicable Human Evaluations via Stable Ranking Probability
Reliable human evaluation is critical to the development of successful natural language generation models, but achieving it is notoriously difficult.
Prompting PaLM for Translation: Assessing Strategies and Performance
Large language models (LLMs) that have been trained on multilingual but not parallel text exhibit a remarkable ability to translate between languages.
DOCmT5: Document-Level Pretraining of Multilingual Language Models
In this paper, we introduce DOCmT5, a multilingual sequence-to-sequence language model pretrained with large scale parallel documents.
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Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Human evaluation of modern high-quality machine translation systems is a difficult problem, and there is increasing evidence that inadequate evaluation procedures can lead to erroneous conclusions.
